Multi-objective differential evolution with performance-metric-based self-adaptive mutation operator for chemical and biochemical dynamic optimization problems-Reference-Cited by-同舟云学术

Multi-objective differential evolution with performance-metric-based self-adaptive mutation operator for chemical and biochemical dynamic optimization problems

Published:2017-10 Issue: Volume:59 Page:33-44
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Fan Qinqin^ORCID,Wang Weili,Yan Xuefeng

Funder

National Nature Science Foundation of china

Fundamental Research Funds for the Central Universities

National Program on Key Basic Research Project

Publisher

Elsevier BV

Subject

Software

Reference73 articles.

1. Multiobjective optimization: when objectives exhibit non-uniform latencies;Allmendinger;Eur. J. Oper. Res.,2015

2. Multi-objective differential evolution algorithm with a new improved mutation strategy;Ali;Int. J. Artifi. Intell.,2016

3. An adaptive evolutionary multi-objective approach based on simulated annealing;Li;Evol. Comput.,2011

4. An adaptive population multi-objective quantum-inspired evolutionary algorithm for multi-objective 0/1 knapsack problems;Lu;Inf. Sci.,2013

5. Covariance matrix adaptation for multi-objective optimization;Igel;Evol. Comput.,2007

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