Objective Space-Based Population Generation to Accelerate Evolutionary Algorithms for Large-Scale Many-Objective Optimization-Reference-Cited by-同舟云学术

Objective Space-Based Population Generation to Accelerate Evolutionary Algorithms for Large-Scale Many-Objective Optimization

Author:

Deng Qi¹^ORCID,Kang Qi¹^ORCID,Zhang Liang¹,Zhou MengChu²^ORCID,An Jing³^ORCID

Affiliation:

1. Department of Control Science and Engineering, Tongji University, Shanghai, China

2. ECE Department, New Jersey Institute of Technology, Newark, NJ, USA

3. School of Electrical and Electronic Engineering, Shanghai Institute of Technology, Shanghai, China

Funder

National Natural Science Foundation of China

Strategy Research Project of Artificial Intelligence Algorithms of Ministry of Education of China

Shanghai Industrial Collaborative Science and Technology Innovation Project

Shanghai Municipal Science and Technology Major Project

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

Reference62 articles.

5. A cooperative coevolutionary approach to function optimization;potter;Proc Int Conf PPSN,1994

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