A hybrid method of evolutionary algorithm and simple cell mapping for multi-objective optimization problems-Reference-Cited by-同舟云学术

A hybrid method of evolutionary algorithm and simple cell mapping for multi-objective optimization problems

Published:2016-06-04 Issue:3 Volume:5 Page:570-582
ISSN:2195-268X
Container-title:International Journal of Dynamics and Control
language:en
Short-container-title:Int. J. Dynam. Control

Author:

Naranjani Yousef,Hernández Carlos,Xiong Fu-Rui,Schütze Oliver,Sun Jian-Qiao

Funder

National Natural Science Foundation of China

University of California Institute for Mexico and the United States

Consejo Nacional de Ciencia y Tecnología

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Control and Optimization,Mechanical Engineering,Modeling and Simulation,Civil and Structural Engineering,Control and Systems Engineering

Link

http://link.springer.com/article/10.1007/s40435-016-0250-1/fulltext.html

Reference44 articles.

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3. Zhang Q, Li H (2007) MOEA/D: a multi-objective evolutionary algorithm based on decomposition. IEEE Trans Evol Comput 11(6):712–731

4. Beume N, Naujoks B, Emmerich M (2007) SMS-EMOA: multiobjective selection based on dominated hypervolume. Eur J Oper Res 181(3):1653–1669

5. Deb K (2001) Multi-objective optimization using evolutionary algorithms. Wiley, New York

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