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Multi-objective firefly algorithm based on compensation factor and elite learning

  • Published:2019-02 Issue: Volume:91 Page:37-47
  • ISSN:0167-739X
  • Container-title:Future Generation Computer Systems
  • language:en
  • Short-container-title:Future Generation Computer Systems

Author:

Lv Li,Zhao Jia,Wang Jiayuan,Fan Tanghuai

Funder

National Natural Science Foundation of China

Science Fund for Distinguished Young Scholars of Jiangxi Province

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference32 articles.

1. Hybridizing adaptive biogeography-based optimization with differential evolution for multi-objective optimization problems;Feng;Information,2017

2. Enhancing the performance of MOEAs: an experimental presentation of a new fitness guided mutation operator;Liagkouras;J. Exp. Theor. Artif. Intell.,2017

3. Genetic algorithms for multi-objective optimization: Formulation discussion and generalization;Fonseca,1993

4. Multi-objective optimization using non-dominated sorting in genetic algorithms;Srinivas;Evol. Comput.,1994

5. A fast and elitist multi-objective genetic algorithm: NSGA-II;Deb;IEEE Trans. Evol. Comput.,2002

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