Hybrid Estimation of Distribution Based on Knowledge Transfer for Flexible Job-shop Scheduling Problem-Reference-Cited by-同舟云学术

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Hybrid Estimation of Distribution Based on Knowledge Transfer for Flexible Job-shop Scheduling Problem

Published:2022-10-28 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)
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Author:

Cao Lulu¹,Jiang Min¹,Feng Liang²,Lin Qiuzhen³,Pan Renhu⁴,Chen Tan Kay⁵

Affiliation:

1. Xiamen University,School of Informatics,Fujian,China

2. Chongqing University,College of Computer Science,Chongqing,China

3. Shenzhen University,College of Computer Science and Software Engineering,Guangdong,China

4. Fujian Longking CO.LTD.,Fujian,China

5. Hong Kong Polytechnic University,Department of Computing,Hong Kong,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9967441/9967479/09967485.pdf?arnumber=9967485

Reference19 articles.

1. Improved nsga for multi-objective flexible job-shop scheduling problem;luyan;Computer Engineering and Applications,2019

2. A Pareto-based estimation of distribution algorithm for the multi-objective flexible job-shop scheduling problem

3. A Simple Estimation of Distribution Algorithm for the Flexible Job-Shop Problem

4. Mathematical modeling and heuristic approaches to flexible job shop scheduling problems

5. A Discrete Particle Swarm Optimization Algorithm With Adaptive Inertia Weight for Solving Multiobjective Flexible Job-shop Scheduling Problem

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