A new multiobjective genetic algorithm with heterogeneous population for solving flowshop scheduling problems-Reference-Cited by-同舟云学术

A new multiobjective genetic algorithm with heterogeneous population for solving flowshop scheduling problems

Published:2007-07 Issue:5 Volume:20 Page:465-477
ISSN:0951-192X
Container-title:International Journal of Computer Integrated Manufacturing
language:en
Short-container-title:International Journal of Computer Integrated Manufacturing

Author:

Yandra ¹,Tamura Hiroyuki¹

Affiliation:

1. a Applied System Design Laboratory, Department of Electrical Engineering and Computer Science, Faculty of Engineering , Kansai University , Osaka, Japan

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/09511920601160288

Reference31 articles.

1. Genetic local search for multi-objective flowshop scheduling problems

2. Multiobjective Scheduling by Genetic Algorithms

3. Pareto-Optimal Solutions for Multi-objective Production Scheduling Problems

4. Multi-objective Flow-Shop: Preliminary Results

5. The development of gradual-priority weighting approach for the multi-objective flowshop scheduling problem

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