Multidirection Update-Based Multiobjective Particle Swarm Optimization for Mixed No-Idle Flow-Shop Scheduling Problem-Reference-Cited by-同舟云学术

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Multidirection Update-Based Multiobjective Particle Swarm Optimization for Mixed No-Idle Flow-Shop Scheduling Problem

Published:2021-09 Issue:3 Volume:1 Page:176-197
ISSN:2096-9929
Container-title:Complex System Modeling and Simulation
language:
Short-container-title:Complex Syst. Model. Simul.

Author:

Zhang Wenqiang,Hou Wenlin,Li Chen,Yang Weidong,Gen Mitsuo

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9420428/9600623/09600624.pdf?arnumber=9600624

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2. Domain Knowledge Used in Meta-Heuristic Algorithms for the Job-Shop Scheduling Problem: Review and Analysis;Tsinghua Science and Technology;2024-10

3. Evolutionary computation and reinforcement learning integrated algorithm for distributed heterogeneous flowshop scheduling;Engineering Applications of Artificial Intelligence;2024-09

4. A dual-population Constrained Many-Objective Evolutionary Algorithm based on reference point and angle easing strategy;PeerJ Computer Science;2024-07-22

5. A Constraint Adaptive Multi-Tasking Differential Evolution Algorithm: Designed for Dispatch of Integrated Energy System in Coal Mine;Tsinghua Science and Technology;2024-04

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