Publications

Compact List

(2022). An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem. Pacific Rim International Conference on Artificial Intelligence (PRICAI).

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(2022). Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. Proceedings of the International Conference on Parallel Problem Solving from Nature (PPSN).

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(2022). Multitask Multi-objective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job Shop Scheduling. IEEE Transactions on Cybernetics.

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(2022). Genetic Programming with Knowledge Transfer and Guided Search for Uncertain Capacitated Arc Routing Problem. IEEE Transactions on Evolutionary Computation.

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(2022). Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling. IEEE Transactions on Cybernetics.

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(2022). Adaptive Coordination Ant Colony Optimisation for Multi-Point Dynamic Aggregation. IEEE Transactions on Cybernetics.

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(2022). A Route Clustering and Search Heuristic for Large Scale Multi-Depot Capacitated Arc Routing Problem. IEEE Transactions on Cybernetics.

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(2022). Local Ranking Explanation for Genetic Programming Evolved Routing Policies for Uncertain Capacitated Arc Routing Problems. Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO).

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(2022). Learning Strategies on Scheduling Heuristics of Genetic Programming in Dynamic Flexible Job Shop Scheduling. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2022). Guided Local Search with an Adaptive Neighbourhood Size Heuristic for Large Scale Vehicle Routing Problems. Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO).

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(2022). Graph-based Linear Genetic Programming: A Case Study of Dynamic Scheduling. Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO).

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(2022). Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2022). Genetic Programming with Diverse Partner Selection for Dynamic Flexible Job Shop Scheduling. Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO) Companion.

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(2022). Genetic Programming with Cluster Selection for Dynamic Flexible Job Shop Scheduling. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2022). Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2022). Genetic Programming for Vehicle Subset Selectionin Ambulance Dispatching. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2022). Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2022). A Novel Fitness Function for Genetic Programming in Dynamic Flexible Job Shop Scheduling. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2022). A Multi-Objective Genetic Programming Algorithm with α dominance and Archive for Uncertain Capacitated Arc Routing Problem. IEEE Transactions on Evolutionary Computation.

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(2022). A Multi-objective Evolutionary Algorithm with New Reproduction and Decomposition Mechanisms for the Multi-Point Dynamic Aggregation Problem. Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO).

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(2022). Semantic Linear Genetic Programming for Symbolic Regression. IEEE Transactions on Cybernetics.

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(2022). Instance Rotation Based Surrogate in Genetic Programming with Brood Recombination for Dynamic Job Shop Scheduling. IEEE Transactions on Evolutionary Computation.

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(2022). Learning Heuristics with Different Representations for Stochastic Routing. IEEE Transactions on Cybernetics.

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(2022). Simplifying Dispatching Rules in Genetic Programming for Dynamic Job Shop Scheduling. Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP).

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(2022). Knowledge Transfer Genetic Programming with Auxiliary Population for Solving Uncertain Capacitated Arc Routing Problem. IEEE Transactions on Evolutionary Computation.

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(2022). An Investigation of Multitask Linear Genetic Programming for Dynamic Job Shop Scheduling. Proceedings of the European Conference on Genetic Programming (EuroGP).

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(2022). Hybrid Grouping Genetic Algorithm for Large-scale Two-Level Resource Allocation of Containers in the Cloud. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AJCAI).

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(2022). Genetic Programming with Niching for Uncertain Capacitated Arc Routing Problem. IEEE Transactions on Evolutionary Computation.

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(2022). Cooperative Coevolution with Knowledge-based Dynamic Variable Decomposition for Bilevel Multiobjective Optimization. IEEE Transactions on Evolutionary Computation.

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(2021). Learning Penalisation Criterion of Guided Local Search for Large Scale Vehicle Routing Problem. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI).

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(2021). Investigation of Linear Genetic Programming for Dynamic Job Shop Scheduling. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI).

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(2021). Capacitated Arc Routing Problems in Smart City. Artificial Intelligence (in Chinese).

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(2021). Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI).

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(2021). An Investigation on Multi-Objective Fish Breeding Program Design. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI).

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(2021). An Improved Multi-Objective Genetic Programming Hyper-Heuristic with Archive for Uncertain Capacitated Arc Routing Problem. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI).

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(2021). Hybrid framework for rapid evaluation of wind environment around buildings through parametric design, CFD simulation, image processing and machine learning. Sustainable Cities and Society.

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(2021). Genetic Programming for Production Scheduling: An Evolutionary Learning Approach. Springer.

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(2021). Substituting clinical features using synthetic medical phrases: Medical text data augmentation techniques. Artificial Intelligence in Medicine.

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(2021). Surrogate-Assisted Evolutionary Multitasking Genetic Programming for Dynamic Flexible Job Shop Scheduling. IEEE Transactions on Evolutionary Computation.

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(2021). A Two-Stage Swarm Optimizer with Local Search for Water Distribution Network Optimization. IEEE Transactions on Cybernetics.

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(2021). Surrogate-Assisted Genetic Programming with Diverse Transfer for the Uncertain Capacitated Arc Routing Problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2021). Look-Ahead Genetic Programming for Uncertain Capacitated Arc Routing Problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2021). Learning Initialisation Heuristic for Large Scale Vehicle Routing Problem with Genetic Programming. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2021). Genetic Programming with Archive for Dynamic Flexible Job Shop Scheduling. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2021). Genetic Programming with Algebraic Simplification for Dynamic Job Shop Scheduling. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2021). An Evolutionary Hyper-Heuristic Approach to the Large Scale Vehicle Routing Problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2021). A Two-Stage Multi-Objective Genetic Programming with Archive for Uncertain Capacitated Arc Routing Problem. Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO).

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(2021). A Novel Multi-Task Genetic Programming Approach to Uncertain Capacitated Arc Routing Problem. Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO).

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(2021). A Multi-Objective Genetic Programming Approach with Self-Adaptive Alpha Dominance to Uncertain Capacitated Arc Routing Problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2021). Automated Coordination Strategy Design using Genetic Programming for Dynamic Multi-Point Dynamic Aggregation. IEEE Transactions on Cybernetics.

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(2021). Genetic Programming with Delayed Routing for Multi-Objective Dynamic Flexible Job Shop Scheduling. Evolutionary Computation.

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(2021). Divide-and-Conquer Large Scale Capacitated Arc Routing Problems with Route Cutting Off Decomposition. Information Sciences.

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(2021). Multitask Genetic Programming Based Generative Hyper-heuristics: A Case Study in Dynamic Scheduling. IEEE Transactions on Cybernetics.

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(2021). Evolutionary Multi-Objective Optimization for Web Service Location Allocation Problem. IEEE Transactions on Services Computing.

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(2021). Knowledge Transfer in Genetic Programming Hyper-heuristics. Automated Design of Machine Learning and Search Algorithms.

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(2021). Correlation Coefficient based Recombinative Guidance for Genetic Programming Hyper-heuristics in Dynamic Flexible Job Shop Scheduling. IEEE Transactions on Evolutionary Computation.

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(2020). Towards Interpretable Routing Policy: A Two Stage Multi-Objective Genetic Programming Approach with Feature Selection for Uncertain Capacitated Arc Routing Problem. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI).

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(2020). Diversity-driven Knowledge Transfer for GPHH to Solve Uncertain Capacited Arc Routing Problem. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI).

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(2020). Adaptive Search Space through Evolutionary Hyper-Heuristics for the Large-Scale Vehicle Routing Problem. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI).

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(2020). A Parametric Pipeline Framework for Genetic Programming Transfer Learning in the Uncertain Capacitated Arc Routing Problem. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AJCAI).

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(2020). A GPHH with Surrogate-assisted Knowledge Transfer for Uncertain Capacitated Arc Routing Problem. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI).

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(2020). Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems. Evolutionary Computation.

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(2020). Evolutionary Multitasking for Dynamic Flexible Job Shop Scheduling via Genetic Programming Hyper-heuristics. Proceedings of the ACM Genetic and Evolutionary Computation Conference Companion.

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(2020). An NSGA-II-based Approach for Multi-objective Micro-service Allocation in Container-based Clouds. Proceedings of the IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID).

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(2020). A Survey of Evolutionary Computation for Web Service Composition: A Technical Perspective. IEEE Transactions on Emerging Topics in Computational Intelligence.

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(2020). A Memetic Level-based Learning Swarm Optimizer for Large-scale Water Distribution Network Optimization. Proceedings of the ACM Genetic and Evolutionary Computation Conference.

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(2020). Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling. Proceedings of the European Conference on Genetic Programming.

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(2020). Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling. Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimisation.

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(2020). A Group Genetic Algorithm for Resource Allocation in Container-based Clouds. Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimisation.

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(2020). Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems. Proceedings of the IEEE World Congress on Computational Intelligence.

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(2020). Genetic Programming Hyper-heuristic with Cluster Awareness for Stochastic Team Orienteering Problem with Time Windows. Proceedings of the IEEE World Congress on Computational Intelligence.

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(2020). Cluster-based Hyper-Heuristic for the Large-Scale Vehicle Routing Problem. Proceedings of the IEEE World Congress on Computational Intelligence.

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(2020). A Multi-Objective Genetic Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc Routing Problems. Proceedings of the IEEE World Congress on Computational Intelligence.

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(2020). A Memetic Algorithm for the Task Allocation Problem on Multi-robot Multi-point Dynamic Aggregation Missions. Proceedings of the IEEE World Congress on Computational Intelligence.

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(2020). A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling. Proceedings of the IEEE World Congress on Computational Intelligence.

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(2020). A fast parallel genetic programming framework with adaptively weighted primitives for symbolic regression. Soft Computing.

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(2019). Multitasking Genetic Programming for Stochastic Team Orienteering Problem with Time Windows. Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI).

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(2019). Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI).

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(2019). Evolving Ensembles of Routing Policies using Genetic Programming for Uncertain Capacitated Arc Routing Problem. Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI).

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(2019). A Two-Stage Genetic Programming Hyper-Heuristic for Uncertain Capacitated Arc Routing Problem. Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI).

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(2019). Stratifying risk of coronary artery disease using discriminative knowledge-guided medical concept pairings from clinical notes. Proceedings of Pacific-Rim International Conference on Artificial Intelligence (PRICAI).

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(2019). A Novel Genetic Programming Algorithm with Knowledge Transfer for Uncertain Capacitated Arc Routing. Proceedings of Pacific-Rim International Conference on Artificial Intelligence (PRICAI).

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(2019). Novel Ensemble Genetic Programming Hyper-Heuristics for Uncertain Capacitated Arc Routing Problem. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO).

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(2019). Genetic Programming Hyper-Heuristic with Knowledge Transfer for Uncertain Capacitated Arc Routing Problem. Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO).

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(2019). A Two-Stage Genetic Programming Hyper-heuristic Approach with Feature Selection for Dynamic Flexible Job Shop Scheduling. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO).

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(2019). Transfer Learning in Genetic Programming Hyper-heuristic for Solving Uncertain Capacitated Arc Routing Problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2019). Evolving Dispatching Rules for Multi-objective Dynamic Flexible Job Shop Scheduling via Genetic Programming Hyper-heuristics. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2019). Can Stochastic Dispatching Rules Evolved by Genetic Programming Hyper-heuristics Help in Dynamic Flexible Job Shop Scheduling?. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2019). An Ontology-based Two-Stage Approach to Medical Text Classification with Feature Selection by Particle Swarm Optimisation. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2019). Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2019). A Hybrid Genetic Programming Hyper-Heuristic Approach for Online Two-level Resource Allocation in Container-based Clouds. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2019). A New Representation in Genetic Programming for Evolving Dispatching Rules for Dynamic Flexible Job Shop Scheduling. Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP).

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(2019). A Survey on Evolutionary Machine Learning. Journal of the Royal Society of New Zealand.

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(2019). A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules. Evolutionary Computation.

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(2018). Genetic Programming Hyper-Heuristic for Multi-Vehicle Uncertain Capacitated Arc Routing Problem. Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO).

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(2018). Feature Construction in Genetic Programming Hyper-Heuristic for Dynamic Flexible Job Shop Scheduling. Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO).

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(2018). Genetic Programming Hyper-Heuristic for Stochastic Team Orienteering Problem with Time Windows. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2018). Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling. Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP).

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(2018). Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling. Proceedings of the European Conference on Genetic Programming (EuroGP).

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(2018). Genetic Programming Hyper-Heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling. Proceedings of the European Conference on Genetic Programming (EuroGP).

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(2018). A Hybrid Memetic Approach for Fully Automated Multi-Objective Web Service Composition. Proceedings of the IEEE International Conference on Web Services (ICWS).

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(2018). Uncovering Discriminative Knowledge-Guided Medical Concepts for Classifying Coronary Artery Disease Notes. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI).

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(2018). Surrogate-assisted genetic programming for dynamic flexible job shop scheduling. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI).

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(2018). Sampling Heuristics for Multi-objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming. Proceedings of the International Conference on Parallel Problem Solving from Nature (PPSN).

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(2018). Genetic programming with multi-tree representation for dynamic flexible job shop scheduling. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI).

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(2018). Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI).

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(2018). Evolutionary computation for automatic Web service composition: an indirect representation approach. Journal of Heuristics.

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(2018). An Improved Genetic Programming Hyper-Heuristic for the Uncertain Capacitated Arc Routing Problem. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI).

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(2018). Adaptive Reference Point Generation for Many-Objective Optimization Using NSGA-III. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI).

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(2018). A Genetic Programming Hyper-heuristic Approach for Online Resource Allocation in Container-Based Clouds. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI).

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(2018). A bi-level optimization model for grouping constrained storage location assignment problems. IEEE Transactions on Cybernetics.

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(2017). Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO).

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(2017). Memetic algorithm with route decomposing for periodic capacitated arc routing problem. Applied Soft Computing.

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(2017). Investigating the generality of genetic programming based hyper-heuristic approach to dynamic job shop scheduling with machine breakdown. Proceedings of the Australasian Conference on Artificial Life and Computational Intelligence (ACALCI).

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(2017). Geometric semantic crossover with an angle-aware mating scheme in genetic programming for symbolic regression. Proceedings of the European Conference on Genetic Programming (EuroGP).

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(2017). Genetic programming for production scheduling: a survey with a unified framework. Complex and Intelligent Systems.

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(2017). Fragment-based genetic programming for fully automated multi-objective web service composition. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO).

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(2017). Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching. Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI).

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(2017). Evolving time-invariant dispatching rules in job shop scheduling with genetic programming. Proceedings of the European Conference on Genetic Programming (EuroGP).

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(2017). Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2017). Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2017). Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction. Proceedings of the Asia-Pacific Conference on Simulated Evolution and Learning (SEAL).

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(2017). Dynamic job shop scheduling under uncertainty using genetic programming. Proceedings of Intelligent and Evolutionary Systems (IES).

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(2017). DG2: A faster and more accurate differential grouping for large-scale black-box optimization. IEEE Transactions on Evolutionary Computation.

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(2017). Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling. Proceedings of the Asia-Pacific Conference on Simulated Evolution and Learning (SEAL).

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(2017). CAPRA: A contour-based accessible path routing algorithm. Information Sciences.

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(2017). Automated state feature learning for actor-critic reinforcement learning through NEAT. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO).

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(2017). Automated heuristic design using genetic programming hyper-heuristic for uncertain capacitated arc routing problem. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO).

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(2017). An efficient feature selection algorithm for evolving job shop scheduling rules with genetic programming. IEEE Transactions on Emerging Topics in Computational Intelligence.

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(2017). A PSO-based reference point adaption method for genetic programming hyper-heuristic in many-objective job shop scheduling. Proceedings of the Australasian Conference on Artificial Life and Computational Intelligence (ACALCI).

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(2017). A NSGA-II-based approach for service resource allocation in Cloud. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2016). Particle swarm optimization for multi-objective web service location allocation. Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP).

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(2016). Particle swarm optimisation with sequence-like indirect representation for web service composition. Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP).

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(2016). Niching genetic programming based hyper-heuristic approach to dynamic job shop scheduling: an investigation into distance metrics. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO).

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(2016). Many-objective genetic programming for job-shop scheduling. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2016). Improving job shop dispatching rules via terminal weighting and adaptive mutation in genetic programming. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2016). Genetic programming based hyper-heuristics for dynamic job shop scheduling: cooperative coevolutionary approaches. Proceedings of the European Conference on Genetic Programming (EuroGP).

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(2016). Feature selection in evolving job shop dispatching rules with genetic programming. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO).

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(2016). Fast bi-objective feature selection using entropy measures and bayesian inference. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO).

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(2016). Evolutionary web service composition: A graph-based memetic algorithm. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2016). Evolutionary scheduling and combinatorial optimisation: Applications, challenges, and future directions. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2016). Efficient meta-heuristics for the multi-objective time-dependent orienteering problem. European Journal of Operational Research.

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(2016). Dynamic selection of evolutionary operators based on online learning and fitness landscape analysis. Soft Computing.

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(2016). An Analysis of the Inertia Weight Parameter for Binary Particle Swarm Optimization. IEEE Transactions on Evolutionary Computation.

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(2016). A memetic algorithm-based indirect approach to web service composition. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2016). A comprehensive analysis on reusability of GP-evolved job shop dispatching rules. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2016). A competitive divide-and-conquer algorithm for unconstrained large-scale black-box optimization. ACM Transactions on Mathematical Software.

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(2015). Heuristic evolution with genetic programming for traveling thief problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2015). Evolving self-adaptive tabu search algorithm for storage location assignment problems. Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO).

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(2015). A restricted neighbourhood tabu search for storage location assignment problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2014). Variable neighborhood decomposition for large scale capacitated arc routing problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2014). Scaling up solutions to storage location assignment problems by genetic programming. Proceedings of the Asia-Pacific Conference on Simulated Evolution and Learning (SEAL).

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(2014). Improving efficiency of heuristics for the large scale traveling thief problem. Proceedings of the Asia-Pacific Conference on Simulated Evolution and Learning (SEAL).

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(2014). Effective decomposition of large-scale separable continuous functions for cooperative co-evolutionary algorithms. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2014). Cooperative coevolution with route distance grouping for large-scale capacitated arc routing problems. IEEE Transactions on Evolutionary Computation.

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(2014). Cooperative co-evolution with differential grouping for large scale optimization. IEEE Transactions on Evolutionary Computation.

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(2014). A genetic programming-based hyper-heuristic approach for storage location assignment problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2013). Evolutionary computation for dynamic capacitated arc routing problem. Evolutionary Computation for Dynamic Optimization Problems.

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(2013). Decomposing large-scale capacitated arc routing problems using a random route grouping method. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2011). Portfolio optimization through data conditioning and aggregation. Proceedings of the IEEE International Conference on Tools with Artificial Intelligence (ICTAI).

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(2011). Decomposition-based memetic algorithm for multiobjective capacitated arc routing problem. IEEE Transactions on Evolutionary Computation.

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(2011). A memetic algorithm for periodic capacitated arc routing problem. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

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(2010). Memetic algorithm with heuristic candidate list strategy for capacitated arc routing problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2010). Capacitated arc routing problem in uncertain environments. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2009). Memetic algorithm with extended neighborhood search for capacitated arc routing problems. IEEE Transactions on Evolutionary Computation.

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(2009). Improved memetic algorithm for capacitated arc routing problem. Proceedings of the IEEE Congress on Evolutionary Computation (CEC).

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(2009). A global repair operator for capacitated arc routing problem. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

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