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title = {Neural Network Surrogate based on Binary Classification for Assisting Genetic Programming in Searching Scheduling Heuristic},
author = {Chen, Ruiqi and Mei, Yi and Zhang, Fangfang and Zhang, Mengjie},
booktitle = {Proceedings of the Pacific Rim International Conference on Artificial Intelligence (PRICAI)},
pages = {},
year = {2024},
month = {aug},
organization = {Springer},
doi = {}
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title = {GPGLS: Genetic Programming Guided Local Search for Large-Scale Vehicle Routing Problems},
author = {Liu, Saining and Mei, Yi and Costa, Joao and Zhang, Mengjie},
booktitle = {Proceedings of the International Conference on Parallel Problem Solving from Nature (PPSN)},
pages = {},
year = {2024},
month = {sep},
organization = {Springer},
doi = {10.1007/978-3-031-70055-2_3}
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@inproceedings{abdollahi2024ontology,
title = {An Ontology-based Three-Stage Approach to Medical Text Classification with Feature Selection by Particle Swarm Optimisation},
author = {Abdollahi, Mahdi and Gao, Xiaoying and Mei, Yi and Ghosh, Shameek and Li, Jinyan and Narag, Michael},
booktitle = {Proceedings of the International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES)},
pages = {},
year = {2024},
month = {sep},
organization = {Springer},
doi = {}
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@inproceedings{sun2024evolving,
title = {Evolving Scheduling Heuristics for Energy-Efficient Dynamic Workflow Scheduling in Cloud via Genetic Programming Hyper-heuristics},
author = {Sun, Zaixing and Zhang, Fangfang and Mei, Yi and Huang, Hejiao and Gu, Chonglin and Qian, Bin and Zhang, Mengjie},
booktitle = {Proceedings of the International Conference on Intelligent Computing},
pages = {},
year = {2024},
month = {aug},
organization = {Springer},
doi = {10.1007/978-981-97-5578-3_14}
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title = {Learning Traffic Signal Control via Genetic Programming},
author = {Liao, Xiaocheng and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO)},
pages = {924--932},
year = {2024},
month = {jul},
organization = {ACM},
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title = {Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework},
author = {Pei, Jiyuan and Liu, Jialin and Mei, Yi},
booktitle = {Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO)},
pages = {1017--1025},
year = {2024},
month = {jul},
organization = {ACM},
pdf = {https://ndownloader.figshare.com/files/49416979},
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title = {A Preliminary Counterfactual Explanation Method for Genetic Programming-Evolved Rules: A Case Study on Uncertain Capacitated Arc Routing Problem},
author = {Wang, Shaolin and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO) Companion},
pages = {547--550},
year = {2024},
month = {jul},
organization = {ACM},
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title = {A Cooperative Coevolution Neural Architecture Search Approach for Evolving Convolutional Neural Networks},
author = {Londt, Trevor and Gao, Xiaoying and Mei, Yi},
booktitle = {Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO) Companion},
pages = {599--602},
year = {2024},
month = {jul},
organization = {ACM},
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title = {Interpretable Local Explanations Through Genetic Programming},
author = {Andersen, Hayden and Lensen, Andrew and Browne, Will and Mei, Yi},
booktitle = {Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO) Companion},
pages = {247--250},
year = {2024},
month = {jul},
organization = {ACM},
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title = {Multi-Objective Genetic-Programming Hyper-Heuristic for Evolving Interpretable Flexible Job Shop Scheduling Rules},
author = {Pang, Junwei and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {},
year = {2024},
month = {jul},
organization = {IEEE},
doi = {}
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title = {Learning Heuristics via Genetic Programming for Multi- mode Resource-constrained Project Scheduling},
author = {Tian, Yuan and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {},
year = {2024},
month = {jul},
organization = {IEEE},
doi = {}
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title = {A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling},
author = {Xu, Meng and Mei, Yi and Zhang, Fangfang and Zhang, Mengjie},
booktitle = {Proceedings of the Australasian Joint Conference on Artificial Intelligence (AJCAI)},
pages = {403--415},
year = {2023},
month = {dec},
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title = {Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling},
author = {Masood, Atiya and Chen, Gang and Mei, Yi and Al-Sahaf, Harith and Zhang, Mengjie},
booktitle = {Proceedings of the Australasian Joint Conference on Artificial Intelligence (AJCAI)},
pages = {466--478},
year = {2023},
month = {dec},
organization = {Springer},
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title = {XC-NAS: A New Cellular Encoding Approach for Neural Architecture Search of Multi-path Convolutional Neural Networks},
author = {Londt, Trevor and Gao, Xiaoying and Andreae, Peter and Mei, Yi},
booktitle = {Proceedings of the Australasian Joint Conference on Artificial Intelligence (AJCAI)},
pages = {416--428},
year = {2023},
month = {dec},
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doi = {10.1007/978-981-99-8391-9_33}
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title = {A Two-Stage Hybrid GA-Cellular Encoding Approach to Neural Architecture Search},
author = {Londt, Trevor and Gao, Xiaoying and Andreae, Peter and Mei, Yi},
booktitle = {Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)},
pages = {1814--1820},
year = {2023},
month = {dec},
organization = {Springer},
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title = {Grammar-guided Linear Genetic Programming for Dynamic Job Shop Scheduling},
author = {Huang, Zhixing and Mei, Yi and Zhang, Fangfang and Zhang, Mengjie},
booktitle = {Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO)},
pages = {1137--1145},
year = {2023},
month = {jul},
organization = {ACM},
doi = {10.1145/3583131.3590394}
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title = {Learning to Select Initialisation Heuristic for Vehicle Routing Problems},
author = {Costa, Joao and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO)},
pages = {266--274},
year = {2023},
month = {jul},
organization = {ACM},
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title = {Learning Emergency Medical Dispatch Policies Via Genetic Programming},
author = {MacLachlan, Jordan and Mei, Yi and Zhang, Fangfang and Zhang, Mengjie and Signal, Jessica},
booktitle = {Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO)},
pages = {1409--1417},
year = {2023},
month = {jul},
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title = {Local Optima Correlation Assisted Adaptive Operator Selection},
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booktitle = {Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO)},
pages = {339--347},
year = {2023},
month = {jul},
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title = {Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms},
author = {Andersen, Hayden and Lensen, Andrew and Browne, Will and Mei, Yi},
booktitle = {Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO)},
pages = {393--401},
year = {2023},
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title = {An Investigation of Terminal Settings on Multitask Multi-objective Dynamic Flexible Job Shop Scheduling with Genetic Programming},
author = {Zhang, Fangfang and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO) Companion},
pages = {259--262},
year = {2023},
month = {jul},
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title = {Multi-Objective Genetic Programming based on Decomposition on Evolving Scheduling Heuristics for Dynamic Scheduling},
author = {Xu, Meng and Mei, Yi and Zhang, Fangfang and Zhang, Mengjie},
booktitle = {Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO) Companion},
pages = {427--430},
year = {2023},
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title = {Adaptive Particle Swarm Optimization with Local Search for Multi-robot Multi-point Dynamic Aggregation},
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booktitle = {Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO) Companion},
pages = {195--198},
year = {2023},
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title = {Interpretability-Aware Multi-Objective Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling},
author = {Shi, Gaofeng and Zhang, Fangfang and Mei, Yi},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {},
year = {2023},
month = {jul},
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title = {Phenotype Based Surrogate-Assisted Multi-objective Genetic Programming with Brood Recombination for Dynamic Flexible Job Shop Scheduling},
author = {Zhang, Fangfang and Mei, Yi and Nguyen, Su and Zhang, Mengjie},
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pages = {1218--1225},
year = {2022},
month = {dec},
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title = {A further investigation to improve linear genetic programming in dynamic job shop scheduling},
author = {Huang, Zhixing and Mei, Yi and Zhang, Fangfang and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)},
pages = {496--503},
year = {2022},
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title = {Efficient Extended Ant Colony Optimization for Capacitated Electric Vehicle Routing},
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booktitle = {Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)},
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title = {An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem},
author = {Pei, Jiyuan and Mei, Yi and Liu, Jialin and Yao, Xin},
booktitle = {Pacific Rim International Conference on Artificial Intelligence (PRICAI)},
pages = {562--573},
year = {2022},
month = {nov},
organization = {Springer},
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title = {Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling},
author = {Zhang, Fangfang and Mei, Yi and Nguyen, Su and Zhang, Mengjie},
booktitle = {Proceedings of the International Conference on Parallel Problem Solving from Nature (PPSN)},
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year = {2022},
month = {sep},
organization = {Springer},
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title = {Local Ranking Explanation for Genetic Programming Evolved Routing Policies for Uncertain Capacitated Arc Routing Problems},
author = {Wang, Shaolin and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO)},
pages = {314--322},
year = {2022},
month = {jul},
organization = {ACM},
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title = {Graph-based Linear Genetic Programming: A Case Study of Dynamic Scheduling},
author = {Huang, Zhixing and Mei, Yi and Zhang, Fangfang and Zhang, Mengjie},
booktitle = {Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO)},
pages = {955--963},
year = {2022},
month = {jul},
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title = {Guided Local Search with an Adaptive Neighbourhood Size Heuristic for Large Scale Vehicle Routing Problems},
author = {Costa, Joao and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO)},
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year = {2022},
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title = {A Multi-objective Evolutionary Algorithm with New Reproduction and Decomposition Mechanisms for the Multi-Point Dynamic Aggregation Problem},
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booktitle = {Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO)},
pages = {1182--1190},
year = {2022},
month = {jul},
organization = {ACM},
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@inproceedings{xu2022genetic,
title = {Genetic Programming with Diverse Partner Selection for Dynamic Flexible Job Shop Scheduling},
author = {Xu, Meng and Mei, Yi and Zhang, Fangfang and Zhang, Mengjie},
booktitle = {Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO) Companion},
pages = {615--618},
year = {2022},
month = {jul},
organization = {ACM},
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@inproceedings{zhang2022learning,
title = {Learning Strategies on Scheduling Heuristics of Genetic Programming in Dynamic Flexible Job Shop Scheduling},
author = {Zhang, Fangfang and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {1--8},
year = {2022},
month = {jul},
organization = {IEEE},
doi = {10.1109/CEC55065.2022.9870243}
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@inproceedings{shi2022novel,
title = {A Novel Fitness Function for Genetic Programming in Dynamic Flexible Job Shop Scheduling},
author = {Shi, Gaofeng and Zhang, Fangfang and Mei, Yi},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {1--8},
year = {2022},
month = {jul},
organization = {IEEE},
doi = {10.1109/CEC55065.2022.9870235}
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title = {Genetic Programming for Vehicle Subset Selection in Ambulance Dispatching},
author = {MacLachlan, Jordan and Mei, Yi and Zhang, Fangfang and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {1--8},
year = {2022},
month = {jul},
organization = {IEEE},
doi = {10.1109/CEC55065.2022.9870323}
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@inproceedings{xu2022genetic1,
title = {Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling},
author = {Xu, Meng and Zhang, Fangfang and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {1--8},
year = {2022},
month = {jul},
organization = {IEEE},
doi = {10.1109/CEC55065.2022.9870340}
}
@inproceedings{xu2022genetic2,
title = {Genetic Programming with Cluster Selection for Dynamic Flexible Job Shop Scheduling},
author = {Xu, Meng and Mei, Yi and Zhang, Fangfang and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {1--8},
year = {2022},
month = {jul},
organization = {IEEE},
doi = {10.1109/CEC55065.2022.9870431}
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@inproceedings{masood2022genetic,
title = {Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling},
author = {Masood, Atiya and Chen, Gang and Mei, Yi and Al-Sahaf, Harith and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {1--8},
year = {2022},
month = {jul},
organization = {IEEE},
doi = {10.1109/CEC55065.2022.9870322}
}
@inproceedings{andersen2022evolving,
title = {Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution},
author = {Andersen, Hayden and Lensen, Andrew and Browne, Will and Mei, Yi},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {1--8},
year = {2022},
month = {jul},
organization = {IEEE},
doi = {10.1109/CEC55065.2022.9870283}
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@inproceedings{huang2022investigation,
title = {An Investigation of Multitask Linear Genetic Programming for Dynamic Job Shop Scheduling},
author = {Huang, Zhixing and Zhang, Fangfang and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the European Conference on Genetic Programming (EuroGP)},
pages = {162--178},
year = {2022},
month = {apr},
organization = {Springer},
doi = {10.1007/978-3-031-02056-8_11}
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@inproceedings{panda2022simplifying,
title = {Simplifying Dispatching Rules in Genetic Programming for Dynamic Job Shop Scheduling},
author = {Panda, Sai and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP)},
pages = {95--110},
year = {2022},
month = {apr},
organization = {Springer},
doi = {10.1007/978-3-031-04148-8_7}
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title = {An Investigation on Multi-Objective Fish Breeding Program Design},
author = {Currie, Fergus and Mei, Yi and Zhang, Mengjie and Jesson, Linley and Wellenreuther, Maren},
booktitle = {Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)},
pages = {1--8},
year = {2021},
month = {dec},
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title = {Learning Penalisation Criterion of Guided Local Search for Large Scale Vehicle Routing Problem},
author = {Costa, Joao and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)},
pages = {1--8},
year = {2021},
month = {dec},
organization = {IEEE},
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title = {An Improved Multi-Objective Genetic Programming Hyper-Heuristic with Archive for Uncertain Capacitated Arc Routing Problem},
author = {Wang, Shaolin and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)},
pages = {1--8},
year = {2021},
month = {dec},
organization = {IEEE},
doi = {10.1109/SSCI50451.2021.9660154}
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@inproceedings{huang2021investigation,
title = {Investigation of Linear Genetic Programming for Dynamic Job Shop Scheduling},
author = {Huang, Zhixing and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)},
pages = {1--8},
year = {2021},
month = {dec},
organization = {IEEE},
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@inproceedings{pei2021bi,
title = {Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access},
author = {Pei, Jiyuan and Hu, Chengpeng and Liu, Jialin and Mei, Yi and Yao, Xin},
booktitle = {Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)},
pages = {1--9},
year = {2021},
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title = {Hybrid Grouping Genetic Algorithm for Large-scale Two-Level Resource Allocation of Containers in the Cloud},
author = {Akindele, Taiwo and Tan, Boxiong and Mei, Yi and Ma, Hui},
booktitle = {Proceedings of the Australasian Joint
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pages = {519--530},
year = {2022},
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organization = {IEEE},
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title = {Look-Ahead Genetic Programming for Uncertain Capacitated Arc Routing Problem},
author = {MacLachlan, Jordan and Mei, Yi},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {1872--1879},
year = {2021},
month = {jul},
organization = {IEEE},
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@inproceedings{sai2021genetic,
title = {Genetic Programming with Algebraic Simplification for Dynamic Job Shop Scheduling},
author = {Sai, Panda and Mei, Yi},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {1848--1855},
year = {2021},
month = {jul},
organization = {IEEE},
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@inproceedings{xu2021genetic,
title = {Genetic Programming with Archive for Dynamic Flexible Job Shop Scheduling},
author = {Xu, Meng and Zhang, Fangfang and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {2117--2124},
year = {2021},
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title = {Surrogate-Assisted Genetic Programming with Diverse Transfer for the Uncertain Capacitated Arc Routing Problem},
author = {Ardeh, Mazhar Ansari and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {628--635},
year = {2021},
month = {jul},
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title = {A Multi-Objective Genetic Programming Approach with Self-Adaptive Alpha Dominance to Uncertain Capacitated Arc Routing Problem},
author = {Wang, Shaolin and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {636--643},
year = {2021},
month = {jul},
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@inproceedings{costa2021learning,
title = {Learning Initialisation Heuristic for Large Scale Vehicle Routing Problem with Genetic Programming},
author = {Costa, Joao and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {1864--1871},
year = {2021},
month = {jul},
organization = {IEEE},
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@inproceedings{costa2021evolutionary,
title = {An Evolutionary Hyper-Heuristic Approach to the Large Scale Vehicle Routing Problem},
author = {Costa, Joao and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {2109--2116},
year = {2021},
month = {jul},
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title = {A Two-Stage Multi-Objective Genetic Programming with Archive for Uncertain Capacitated Arc Routing Problem},
author = {Wang, Shaolin and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO)},
pages = {287--295},
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pages = {1948--1955},
year = {2017},
organization = {IEEE},
doi = {10.1109/CEC.2017.7969539}
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@inproceedings{karunakaran2017evolving,
title = {Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times},
author = {Karunakaran, Deepak and Mei, Yi and Chen, Gang and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {364--371},
year = {2017},
organization = {IEEE},
doi = {10.1109/CEC.2017.7969335}
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title = {A NSGA-II-based approach for service resource allocation in Cloud},
author = {Tan, Boxiong and Ma, Hui and Mei, Yi},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {2574--2581},
year = {2017},
organization = {IEEE},
doi = {10.1109/CEC.2017.7969618}
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@inproceedings{mei2017evolving,
title = {Evolving time-invariant dispatching rules in job shop scheduling with genetic programming},
author = {Mei, Yi and Nguyen, Su and Zhang, Mengjie},
booktitle = {Proceedings of the European Conference on Genetic Programming (EuroGP)},
pages = {147--163},
year = {2017},
organization = {Springer},
doi = {10.1007/978-3-319-55696-3_10},
codejava = {https://github.com/meiyi1986/GPJSS}
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title = {Geometric semantic crossover with an angle-aware mating scheme in genetic programming for symbolic regression},
author = {Chen, Qi and Xue, Bing and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the European Conference on Genetic Programming (EuroGP)},
pages = {229--245},
year = {2017},
organization = {Springer},
doi = {10.1007/978-3-319-55696-3_15}
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@inproceedings{masood2017pso,
title = {A PSO-based reference point adaption method for genetic programming hyper-heuristic in many-objective job shop scheduling},
author = {Masood, Atiya and Mei, Yi and Chen, Gang and Zhang, Mengjie},
booktitle = {Proceedings of the Australasian Conference on Artificial Life and Computational Intelligence (ACALCI)},
pages = {326--338},
year = {2017},
organization = {Springer},
doi = {10.1007/978-3-319-51691-2_28}
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title = {Investigating the generality of genetic programming based hyper-heuristic approach to dynamic job shop scheduling with machine breakdown},
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booktitle = {Proceedings of the Australasian Conference on Artificial Life and Computational Intelligence (ACALCI)},
pages = {301--313},
year = {2017},
organization = {Springer},
doi = {10.1007/978-3-319-51691-2_26}
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title = {Dynamic job shop scheduling under uncertainty using genetic programming},
author = {Karunakaran, Deepak and Mei, Yi and Chen, Gang and Zhang, Mengjie},
booktitle = {Proceedings of Intelligent and Evolutionary Systems (IES)},
pages = {195--210},
year = {2017},
publisher = {Springer},
doi = {10.1007/978-3-319-49049-6_14}
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@inproceedings{mei2016feature,
title = {Feature selection in evolving job shop dispatching rules with genetic programming},
author = {Mei, Yi and Zhang, Mengjie and Nyugen, Su},
booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)},
pages = {365--372},
year = {2016},
organization = {ACM},
doi = {10.1145/2908812.2908822},
pdf = {https://ndownloader.figshare.com/files/27374285},
codejava = {https://github.com/meiyi1986/GPJSS}
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title = {Fast bi-objective feature selection using entropy measures and bayesian inference},
author = {Mei, Yi and Xue, Bing and Zhang, Mengjie},
booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)},
pages = {469--476},
year = {2016},
organization = {ACM},
doi = {10.1145/2908812.2908823},
codejava = {https://github.com/meiyi1986/FeatureSelection}
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@inproceedings{park2016niching,
title = {Niching genetic programming based hyper-heuristic approach to dynamic job shop scheduling: an investigation into distance metrics},
author = {Park, John and Mei, Yi and Chen, Gang and Zhang, Mengjie},
booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)},
pages = {109--110},
year = {2016},
organization = {ACM},
doi = {10.1145/2908961.2908985}
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@inproceedings{mei2016comprehensive,
title = {A comprehensive analysis on reusability of GP-evolved job shop dispatching rules},
author = {Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {3590--3597},
year = {2016},
organization = {IEEE},
doi = {10.1109/CEC.2016.7744244}
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@inproceedings{nguyen2016evolutionary,
title = {Evolutionary scheduling and combinatorial optimisation: Applications, challenges, and future directions},
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booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {3053--3060},
year = {2016},
organization = {IEEE},
doi = {10.1109/CEC.2016.7744175}
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@inproceedings{riley2016improving,
title = {Improving job shop dispatching rules via terminal weighting and adaptive mutation in genetic programming},
author = {Riley, Michael and Mei, Yi and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {3362--3369},
year = {2016},
organization = {IEEE},
doi = {10.1109/CEC.2016.7744215}
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title = {A memetic algorithm-based indirect approach to web service composition},
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booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
year = {2016},
doi = {10.1109/CEC.2016.7744218}
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title = {Evolutionary web service composition: A graph-based memetic algorithm},
author = {Yan, Longfei and Mei, Yi and Ma, Hui and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {201--208},
year = {2016},
organization = {IEEE},
doi = {10.1109/CEC.2016.7743796}
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@inproceedings{masood2016many,
title = {Many-objective genetic programming for job-shop scheduling},
author = {Masood, Atiya and Mei, Yi and Chen, Gang and Zhang, Mengjie},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {209--216},
year = {2016},
organization = {IEEE},
pdf = {https://ndownloader.figshare.com/files/27374297},
doi = {10.1109/CEC.2016.7743797}
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@inproceedings{park2016genetic,
title = {Genetic programming based hyper-heuristics for dynamic job shop scheduling: cooperative coevolutionary approaches},
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booktitle = {Proceedings of the European Conference on Genetic Programming (EuroGP)},
pages = {115--132},
year = {2016},
organization = {Springer},
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title = {Particle swarm optimization for multi-objective web service location allocation},
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year = {2016},
organization = {Springer},
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title = {Particle swarm optimisation with sequence-like indirect representation for web service composition},
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booktitle = {Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP)},
pages = {202--218},
year = {2016},
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@inproceedings{xie2015evolving,
title = {Evolving self-adaptive tabu search algorithm for storage location assignment problems},
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booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO)},
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year = {2015},
organization = {ACM},
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title = {Heuristic evolution with genetic programming for traveling thief problem},
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year = {2015},
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title = {A restricted neighbourhood tabu search for storage location assignment problem},
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booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {2805--2812},
year = {2015},
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@inproceedings{mei2014improving,
title = {Improving efficiency of heuristics for the large scale traveling thief problem},
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year = {2014},
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codecpp = {codes/TSMA.zip}
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title = {Scaling up solutions to storage location assignment problems by genetic programming},
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year = {2014},
organization = {Springer},
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title = {Variable neighborhood decomposition for large scale capacitated arc routing problem},
author = {Mei, Yi and Li, Xiaodong and Yao, Xin},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
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year = {2014},
organization = {IEEE},
doi = {10.1109/CEC.2014.6900305},
codec = {codes/VND-MAENS.zip}
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@inproceedings{xie2014genetic,
title = {A genetic programming-based hyper-heuristic approach for storage location assignment problem},
author = {Xie, Jing and Mei, Yi and Ernst, Andreas T and Li, Xiaodong and Song, Andy},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
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title = {Decomposing large-scale capacitated arc routing problems using a random route grouping method},
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booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
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title = {Capacitated arc routing problem in uncertain environments},
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booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
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title = {Memetic algorithm with heuristic candidate list strategy for capacitated arc routing problem},
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booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
pages = {1--8},
year = {2010},
organization = {IEEE},
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@inproceedings{mei2009improved,
title = {Improved memetic algorithm for capacitated arc routing problem},
author = {Mei, Yi and Tang, Ke and Yao, Xin},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation (CEC)},
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year = {2009},
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