A cooperative approach for combining particle swarm optimization and differential evolution algorithms to solve single-objective optimization problems-Reference-Cited by-同舟云学术

A cooperative approach for combining particle swarm optimization and differential evolution algorithms to solve single-objective optimization problems

Published:2021-07-17 Issue: Volume: Page:
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Dadvar Marziyeh,Navidi Hamidreza,Javadi Hamid Haj Seyyed,Mirzarezaee Mitra

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-021-02605-x.pdf

Reference34 articles.

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3. Song C, Xu Z, Zhang Y, Wang X (2020) Dynamic hesitant fuzzy Bayesian network and its application in the optimal investment port decision making problem of “twenty-first century maritime silk road”. Applied Intelligence:1–13

4. Meng X, Liu Y, Gao X, Zhang H A new bio-inspired algorithm: chicken swarm optimization. In: International conference in swarm intelligence, 2014. Springer, pp 86–94

5. Mirjalili S (2016) SCA: a sine cosine algorithm for solving optimization problems. Knowl-Based Syst 96:120–133

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