A novel hybrid differential evolution algorithm with modified CoDE and JADE-Reference-Cited by-同舟云学术

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A novel hybrid differential evolution algorithm with modified CoDE and JADE

Published:2016-10 Issue: Volume:47 Page:577-599
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Li Genghui,Lin Qiuzhen,Cui Laizhong,Du Zhihua,Liang Zhengping,Chen Jianyong,Lu Nan,Ming Zhong

Funder

National Natural Science Foundation of China

Guangdong Natural Science Foundation

Foundation for Distinguished Young Talents in Higher Education of Guangdong, China

Major Fundamental Research Project in the Science and Technology Plan of Shenzhen

Natural Science Foundation of SZU

Publisher

Elsevier BV

Subject

Software

Reference62 articles.

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2. A new genetic algorithm for global optimization of multimodal continuous functions;Thakur;J. Comput. Sci.,2014

3. Comprehensive learning particle swarm optimizer for global optimization of multimodal functions;Liang;IEEE Trans. Evol. Comput.,2006

4. Non-parametric particle swarm optimization for global optimization;Beheshti;Appl. Soft Comput.,2015

5. Biomomicry of parasitic behavior in a coevolutionary particle swarm optimization algorithm for global optimization;Qin;Appl. Soft Comput.,2015

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