IM-NSGAII: A novel approach to boost convergence speed and population diversity in multi-objective optimization

Open Access

Peer-reviewed

Research Article

About the Authors

Wei Jiang

Roles Writing – original draft

Affiliation Department of Electromechanical Control, Guangdong Communication Polytechnic, Guangzhou, Guangdong, China

Zhenhua Xie

Roles Data curation

Affiliation Department of Information Technology, Hunan Biological and Electromechanical Polytechnic, Changsha, Hunan, China

The authors have declared that no competing interests exist.

Convergent evolution
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Algorithms
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Optimization
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Species diversity
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Evolutionary algorithms
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Population size
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Polynomials
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Natural selection
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