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Fangfang Zhang
Fangfang Zhang
Lecturer, Victoria University of Wellington, New Zealand
在 ecs.vuw.ac.nz 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Evolving scheduling heuristics via genetic programming with feature selection in dynamic flexible job-shop scheduling
F Zhang, Y Mei, S Nguyen, M Zhang
IEEE Transactions on Cybernetics, 2020
1852020
Effects of corporate social responsibility on customer satisfaction and organizational attractiveness: A signaling perspective
Q Zhang, M Cao, F Zhang, J Liu, X Li
Business ethics: A European review 29 (1), 20-34, 2020
1822020
Surrogate-assisted evolutionary multitask genetic programming for dynamic flexible job shop scheduling
F Zhang, Y Mei, S Nguyen, M Zhang, KC Tan
IEEE Transactions on Evolutionary Computation 25 (4), 651-665, 2021
1652021
Multitask genetic programming-based generative hyperheuristics: A case study in dynamic scheduling
F Zhang, Y Mei, S Nguyen, KC Tan, M Zhang
IEEE Transactions on Cybernetics 52 (10), 10515-10528, 2021
812021
Collaborative multifidelity-based surrogate models for genetic programming in dynamic flexible job shop scheduling
F Zhang, Y Mei, S Nguyen, M Zhang
IEEE Transactions on Cybernetics 52 (8), 8142-8156, 2021
762021
Correlation coefficient-based recombinative guidance for genetic programming hyperheuristics in dynamic flexible job shop scheduling
F Zhang, Y Mei, S Nguyen, M Zhang
IEEE Transactions on Evolutionary Computation 25 (3), 552-566, 2021
672021
Evolving dispatching rules for multi-objective dynamic flexible job shop scheduling via genetic programming hyper-heuristics
F Zhang, Y Mei, M Zhang
2019 IEEE Congress on Evolutionary Computation (CEC), 1366-1373, 2019
672019
A two-stage genetic programming hyper-heuristic approach with feature selection for dynamic flexible job shop scheduling
F Zhang, Y Mei, M Zhang
Proceedings of the Genetic and Evolutionary Computation Conference, 347-355, 2019
632019
Genetic programming with multi-tree representation for dynamic flexible job shop scheduling
F Zhang, Y Mei, M Zhang
AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint …, 2018
562018
Genetic Programming for Production Scheduling
F Zhang, S Nguyen, Y Mei, M Zhang
Springer, 2021
38*2021
Surrogate-assisted genetic programming for dynamic flexible job shop scheduling
F Zhang, Y Mei, M Zhang
AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint …, 2018
352018
Survey on genetic programming and machine learning techniques for heuristic design in job shop scheduling
F Zhang, Y Mei, S Nguyen, M Zhang
IEEE Transactions on Evolutionary Computation 28 (1), 147-167, 2023
342023
Multitask multiobjective genetic programming for automated scheduling heuristic learning in dynamic flexible job-shop scheduling
F Zhang, Y Mei, S Nguyen, M Zhang
IEEE Transactions on Cybernetics 53 (7), 4473-4486, 2022
342022
A preliminary approach to evolutionary multitasking for dynamic flexible job shop scheduling via genetic programming
F Zhang, Y Mei, S Nguyen, M Zhang
Proceedings of the 2020 genetic and evolutionary computation conference …, 2020
302020
Genetic programming with adaptive search based on the frequency of features for dynamic flexible job shop scheduling
F Zhang, Y Mei, S Nguyen, M Zhang
European Conference on Evolutionary Computation in Combinatorial …, 2020
272020
Guided subtree selection for genetic operators in genetic programming for dynamic flexible job shop scheduling
F Zhang, Y Mei, S Nguyen, M Zhang
European Conference on Genetic Programming (Part of EvoStar), 262-278, 2020
272020
A new representation in genetic programming for evolving dispatching rules for dynamic flexible job shop scheduling
F Zhang, Y Mei, M Zhang
Evolutionary Computation in Combinatorial Optimization: 19th European …, 2019
252019
Instance-rotation-based surrogate in genetic programming with brood recombination for dynamic job-shop scheduling
F Zhang, Y Mei, S Nguyen, KC Tan, M Zhang
IEEE Transactions on Evolutionary Computation 27 (5), 1192-1206, 2022
222022
Task Relatedness-Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling
F Zhang, Y Mei, S Nguyen, KC Tan, M Zhang
IEEE Transactions on Evolutionary Computation 27 (6), 1705-1719, 2022
172022
Genetic programming for dynamic workflow scheduling in fog computing
M Xu, Y Mei, S Zhu, B Zhang, T Xiang, F Zhang, M Zhang
IEEE Transactions on Services Computing 16 (4), 2657-2671, 2023
162023
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