Study on sequence problem optimization using variation-robust multi-objective optimization genetic algorithm-Reference-Cited by-同舟云学术

Study on sequence problem optimization using variation-robust multi-objective optimization genetic algorithm

Published:2022 Issue:5 Volume:16 Page:JAMDSM0049-JAMDSM0049
ISSN:1881-3054
Container-title:Journal of Advanced Mechanical Design, Systems, and Manufacturing
language:en
Short-container-title:JAMDSM

Author:

YAMAZAKI Takashi¹,MARUO Akito²,HASOME Ayano¹,TANIGUCHI Jun¹,IGARASHI Hajime³

Affiliation:

1. FUJITSU LIMITED, RESEARCH UNIT, ICT SYSTEM LABORATORY, OPTIMIZATION COMPUTING PROJECT

2. FUJITSU LIMITED, SOFTWARE TECHNOLOGY BUSINESS UNIT, DIGITAL ANNEALER DIV., MI TECHNOLOGY DEPT.

3. Graduate School of Information Science and Technology, Hokkaido University

Publisher

Japan Society of Mechanical Engineers

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Link

https://www.jstage.jst.go.jp/article/jamdsm/16/5/16_2022jamdsm0049/_pdf

Reference17 articles.

1. Clarich, A., Poloni, C. and Pediroda V., A Competitive Game Approach for Multi Objective Robust Design Optimization, AIAA 1st Intelligent Systems Technical Conference (2004) p. 6511.

2. Courteille, E., Mortier, F., Leotoing, L. and Ragneau, E., Multi-objective robust design optimization of an engine mounting system, SAE Technical Paper (2005), Paper No. 2005-01-2412.

3. ESICUP, Working Group on Cutting and Packing within EURO, the Association of the European Operational Research Societies. (online), available from < https://www.euro-online.org/websites/esicup/data-sets/ >.

4. Hidaka, Y., Furui, S. and Igarashi, H., Robust optimization considering probabilistic magnetic degradation, IEEE transactions on magnetics, Vol. 51, No. 3 (2015) pp. 1–4.

5. Hofri, M., Two-dimensional packing: Expected performance of simple level algorithms , Information and Control, Vol. 45, No. 1 (1980), pp. 1–17.

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