A novel adaptive hybrid crossover operator for multiobjective evolutionary algorithm-Reference-Cited by-同舟云学术

A novel adaptive hybrid crossover operator for multiobjective evolutionary algorithm

Published:2016-06 Issue: Volume:345 Page:177-198
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Zhu Qingling,Lin Qiuzhen,Du Zhihua,Liang Zhengping,Wang Wenjun^ORCID,Zhu Zexuan,Chen Jianyong,Huang Peizhi,Ming Zhong

Funder

National Natural Science Foundation of China

China

Ministry of Education in the New Century Excellent Talents Support Program

Foundation for Distinguished Young Talents in Higher Education of Guangdong

Shenzhen Technology Plan

Natural Science Foundation of SZU

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

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