RETRACTED: A Hybrid Differential Evolution Algorithm for Solving Function Optimization

Zhi Gang Zhou

doi:10.4028/www.scientific.net/KEM.439-440.315

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 439-440RETRACTED: A Hybrid Differential Evolution...

RETRACTED: A Hybrid Differential Evolution Algorithm for Solving Function Optimization

Retracted:

This paper has been retracted by publisher.
This paper was found to be in violation of the scope and quality criteria. The document is now considered retracted. Due to strong violation, necessary effort should be made to remove all further references to this paper.
We regret any inconvenience this publication might cause you.

Abstract:

Retracted paper: One of the key points resulting in the success of differential evolution (DE) is its mechanism of different mutation strategies for generating mutant vectors. In this paper, we also present a novel mutation strategy inspired by the velocity updating scheme of particle swarm optimization (PSO). The proposed approach is called HDE, which conducts the mutation strategy on the global best vector for each generation. Experimental studies on 8 well-known benchmark functions show that HDE outperforms other three compared DE algorithms in most test cases.

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Periodical:

Key Engineering Materials (Volumes 439-440)

Pages:

315-320

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.439-440.315

Online since:

June 2010

Authors:

Zhi Gang Zhou

Keywords:

Differential Evolution (DE), Evolutionary Algorithm (EA), Optimization

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Permissions:

Creative Commons CC BY 4.0

Citation:

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