A multi-objective cellular grey wolf optimizer for hybrid flowshop scheduling problem considering noise pollution
2018 · Applied Soft Computing · 160 citations
https://doi.org/10.1016/j.asoc.2018.11.043
L
Liang Gao
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Liang Gao is an academic researcher from Kunming University of Science and Technology. The author has contributed to research in topics: Scheduling and Optimization Algorithms & Advanced Manufacturing and Logistics Optimization & Advanced Multi-Objective Optimization Algorithms. The author has an h-index of 103, co-authored 1079 publications.
ORCID: 0000-0002-1485-0722Papers by this author
worksMathematical modeling and evolutionary algorithm-based approach for integrated process planning and scheduling
2009 · Computers & Operations Research · 137 citations
https://doi.org/10.1016/j.cor.2009.06.008
A system active learning Kriging method for system reliability-based design optimization with a multiple response model
2020 · Reliability Engineering & System Safety · 131 citations
https://doi.org/10.1016/j.ress.2020.106935
An Effective Hybrid Genetic Algorithm and Variable Neighborhood Search for Integrated Process Planning and Scheduling in a Packaging Machine Workshop
2018 · IEEE Transactions on Systems Man and Cybernetics Systems · 129 citations
https://doi.org/10.1109/tsmc.2018.2881686
Constrained Multiobjective Optimization via Multitasking and Knowledge Transfer
2022 · IEEE Transactions on Evolutionary Computation · 121 citations
https://doi.org/10.1109/tevc.2022.3230822
Full-scale topology optimization for fiber-reinforced structures with continuous fiber paths
2021 · Computer Methods in Applied Mechanics and Engineering · 111 citations
https://doi.org/10.1016/j.cma.2021.113668
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