Fundamental Study on the Hierarchical Multi-Objective Optimization Method-Reference-Cited by-同舟云学术

Fundamental Study on the Hierarchical Multi-Objective Optimization Method

Published:2023-11-10 Issue:6 Volume:12 Page:336-343
ISSN:2186-702X
Container-title:Journal of Smart Processing
language:en
Short-container-title:

Author:

IWATA Yoshiharu¹,TERADA Satoshi²,TOMOMOTO Takumi³,MURATA Hidenori⁴,SATOH Ryohei¹

Affiliation:

1. Division of Materials and Manufacturing Science, Graduate School of Engineering, Osaka University

2. Division of Materials and Manufacturing Science, Graduate School of Engineering, Osaka University［ currently Panasonic Corporation］

3. Division of Materials and Manufacturing Science, Graduate School of Engineering, Osaka University ［currently Kobe Steel, Ltd.］

4. Division of Materials and Manufacturing Science, Graduate School of Engineering, Osaka University ［currently Department of Mechanical Engineering, Graduate School of Engineering, Osaka University］

Publisher

Sumart Processing Society for Minerals, Environment and Energy

Subject

Industrial and Manufacturing Engineering,Surfaces, Coatings and Films

Link

https://www.jstage.jst.go.jp/article/jspmee/12/6/12_336/_pdf

Reference13 articles.

1. 1） N. Srinivas and K. Deb: “Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms”, Evolutionary Computation, 2-3 （1994）, 221-248.

2. 2） S. Watanabe, T. Hiroyasu and M. Miki: “Neighborhood Cultivation Genetic Algorithm for Multi-objective Optimization Problems”, Journal of Information Processing, 43, No. SIG10, （2002）, 183-198. （in Japanese）

3. 3） Y. Zheng and S. Chen: “Cooperative particle swarm optimization for multiobjective transportation planning”, Applied Intelligence, 39-1 （2013）, 202-216.

4. 4） W. Lin, F. Cheng and M. Tsay: “An Improved Tabu Search for Economic Dispatch With Multiple Minima”, IEEE Transactions On Power Systems, 17-1 （2002）, 108-112.

5. 5） E. Zitzler and L. Thiele: “An Evolutionary Algorithm for Multiobjective Optimization: The Strength Pareto Approach”, Computer Engineering and Communication Networks Lab （TIK）, TIK-Report 43, （1998）.