Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differentiation Flowshop Scheduling Problem-Reference-Cited by-同舟云学术

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Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differentiation Flowshop Scheduling Problem

Published:2022-10 Issue:5 Volume:26 Page:1043-1057
ISSN:1089-778X
Container-title:IEEE Transactions on Evolutionary Computation
language:
Short-container-title:IEEE Trans. Evol. Computat.

Author:

Zhang Guanghui¹^ORCID,Liu Bo¹,Wang Ling²^ORCID,Yu Dengxiu³^ORCID,Xing Keyi⁴^ORCID

Affiliation:

1. School of Information Science and Technology, Hebei Agricultural University, Baoding, China

2. Department of Automation, Tsinghua University, Beijing, China

3. Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an, China

4. State Key Laboratory for Manufacturing System Engineering and the Systems Engineering Institute, Xi’an Jiaotong University, Xi’an, China

Funder

National Natural Science Foundation of China

Talent Introducing Project of Hebei Agricultural University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

http://xplorestaging.ieee.org/ielx7/4235/9906461/09711566.pdf?arnumber=9711566

Reference55 articles.

1. A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines

2. Memetic algorithm with node and edge histogram for no-idle flow shop scheduling problem to minimize the makespan criterion

3. A Probabilistic Memetic Framework

4. Meta-Lamarckian Learning in Memetic Algorithms

5. Heterogeneous Cooperative Co-Evolution Memetic Differential Evolution Algorithm for Big Data Optimization Problems

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1. A dynamic decision-driven memetic algorithm for fuzzy distributed hybrid flow shop rescheduling considering quality control;Expert Systems with Applications;2024-12

2. Memetic discrete differential evolution with domain knowledge for blocking scheduling distributed flow shop with lot-streaming constraints;Expert Systems with Applications;2024-12

3. An improved co-evolutionary memetic algorithm based on novel schedule type and unconditional feasibility for hybrid flow-shop scheduling problem;Computers & Industrial Engineering;2024-07

4. A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities;Swarm and Evolutionary Computation;2024-03

5. A multiobjective memetic algorithm with particle swarm optimization and Q-learning-based local search for energy-efficient distributed heterogeneous hybrid flow-shop scheduling problem;Expert Systems with Applications;2024-03

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