Search Results - "Gen, Mitsuo"

Research on remanufacturing closed loop supply chain based on incentive-compatibility theory under uncertainty.

Authors: Guo, Jianquan Wang, Guanlan Wang, Zhen et al.

Source: Annals of Operations Research; Jun2025, Vol. 349 Issue 2, p1203-1224, 22p

Q-learning-based multi-objective particle swarm optimization with local search within factories for energy-efficient distributed flow-shop scheduling problem.

Authors: Zhang, Wenqiang Geng, Huili Li, Chen et al.

Source: Journal of Intelligent Manufacturing; Jan2025, Vol. 36 Issue 1, p185-208, 24p

Multi-objective capacitated location-routing problems with stochastic demands and time windows with applications to household solid waste management.

Authors: Zhang, Huizhen Zhang, Kun Rios Insua, David et al.

Source: Fuzzy Optimization & Decision Making; Dec2025, Vol. 24 Issue 4, p751-775, 25p

Hybrid multiobjective particle swarm optimization with Q-learning-guided global search for dual-resource distributed heterogeneous hybrid flow-shop scheduling with setup times.

Authors: Zhang, Wenqiang Li, Mingzhe Li, Xixi et al.

Source: Expert Systems with Applications; Apr2026, Vol. 306, pN.PAG-N.PAG, 1p

Network optimization with big data and uncertain data.

Authors: Li, Xiang Peng, Jin Ralescu, Dan A. et al.

Source: International Journal of General Systems; Jul2020, Vol. 49 Issue 5, p467-469, 3p

A bi-objective genetic algorithm for intelligent rehabilitation scheduling considering therapy precedence constraints.

Authors: Zhao, Lizhong Chien, Chen-Fu Gen, Mitsuo

Source: Journal of Intelligent Manufacturing; Jun2018, Vol. 29 Issue 5, p973-988, 16p

Embedding ant system in genetic algorithm for re-entrant hybrid flow shop scheduling problems with time window constraints.

Authors: Chamnanlor, Chettha Sethanan, Kanchana Gen, Mitsuo et al.

Source: Journal of Intelligent Manufacturing; Dec2017, Vol. 28 Issue 8, p1915-1931, 17p

Hybrid evolutionary optimisation with learning for production scheduling: state-of-the-art survey on algorithms and applications.

Authors: Lin, Lin Gen, Mitsuo

Source: International Journal of Production Research. Jan2018, Vol. 56 Issue 1/2, p193-223. 31p. 8 Diagrams, 6 Charts, 8 Graphs.

Subjects: Production scheduling, Evolutionary algorithms, Machine learning, Scheduling software, Artificial intelligence, Lagrangian functions

Effective multiobjective EDA for bi-criteria stochastic job-shop scheduling problem.

Authors: Hao, Xinchang Gen, Mitsuo Lin, Lin et al.

Source: Journal of Intelligent Manufacturing; Mar2017, Vol. 28 Issue 3, p833-845, 13p

A new model for single machine scheduling with uncertain processing time.

Authors: Hu, Kai Zhang, Xingfang Gen, Mitsuo et al.

Source: Journal of Intelligent Manufacturing; Mar2017, Vol. 28 Issue 3, p717-725, 9p

An effective hybrid evolutionary algorithm for stochastic multiobjective assembly line balancing problem.

Authors: Zhang, Wenqiang Xu, Weitao Liu, Gang et al.

Source: Journal of Intelligent Manufacturing; Mar2017, Vol. 28 Issue 3, p783-790, 8p

Flexibility evaluation-based genetic algorithm for multi-layer fuzzy supply–demand network optimization.

Authors: Zhang, Qing Shi, Wei Zhang, Xinyu et al.

Source: Computers & Industrial Engineering; Dec2025, Vol. 210, pN.PAG-N.PAG, 1p

An evolutionary knowledge training-based proximal policy optimization algorithm for job shop scheduling in flexible intelligent manufacturing.

Authors: Li, Chen Zhao, Xiyan Lin, Lin et al.

Source: Computers & Industrial Engineering; Dec2025, Vol. 210, pN.PAG-N.PAG, 1p

Evolutionary experience-guided deep reinforcement learning for job shop scheduling with AGV transportation constraints in flexible manufacturing system.

Authors: Li, Chen Lin, Lin Qiu, Xuze et al.

Source: Computers & Industrial Engineering; Nov2025, Vol. 209, pN.PAG-N.PAG, 1p

A multi-objective hybrid genetic algorithm to minimize the total cost and delivery tardiness in a reverse logistics.

Authors: Lee, Jeong-Eun Chung, Kyung-Yong Lee, Kang-Dae et al.

Source: Multimedia Tools & Applications; Oct2015, Vol. 74 Issue 20, p9067-9085, 19p

Multistage production distribution under uncertain demands with integrated discrete particle swarm optimization and extended priority-based hybrid genetic algorithm.

Authors: Jamrus, Thitipong Chien, Chen-Fu Gen, Mitsuo et al.

Source: Fuzzy Optimization & Decision Making; Sep2015, Vol. 14 Issue 3, p265-287, 23p, 7 Diagrams, 15 Charts, 2 Graphs

An adaptive genetic algorithm for the time dependent inventory routing problem.

Authors: Cho, Dong Lee, Young Lee, Tae et al.

Source: Journal of Intelligent Manufacturing; Oct2014, Vol. 25 Issue 5, p1025-1042, 18p

The cooperative estimation of distribution algorithm: a novel approach for semiconductor final test scheduling problems.

Authors: Hao, Xin-Chang Wu, Jei-Zheng Chien, Chen-Fu et al.

Source: Journal of Intelligent Manufacturing; Oct2014, Vol. 25 Issue 5, p867-879, 13p

A multi-objective genetic algorithm for yard crane scheduling problem with multiple work lines.

Authors: Liang, Cheng-Ji Chen, Min Gen, Mitsuo et al.

Source: Journal of Intelligent Manufacturing; Oct2014, Vol. 25 Issue 5, p1013-1024, 12p

Multiobjective evolutionary algorithm for manufacturing scheduling problems: state-of-the-art survey.

Authors: Gen, Mitsuo Lin, Lin

Source: Journal of Intelligent Manufacturing; Oct2014, Vol. 25 Issue 5, p849-866, 18p