Research on Methodology of Evolutionary Computing

Jun Fei Zhuo; Xing He Wu; Guan Zhao Wu; Min Yao

doi:10.4028/www.scientific.net/AMR.490-495.524

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 490-495Research on Methodology of Evolutionary Computing

Research on Methodology of Evolutionary Computing

Abstract:

Evolutionary computing is one of the important branches in computational intelligence. This paper mainly introduces four new branches of the evolutionary computation, i.e. Gene Expression Programming (GEP), Particle Swarm Optimization (PSO), Differential Evolution (DE) and Estimation of Distribution Algorithms (EDA).

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Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

524-528

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.490-495.524

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Online since:

March 2012

Authors:

Jun Fei Zhuo, Xing He Wu, Guan Zhao Wu, Min Yao

Keywords:

Differential Evolution, Estimation of Distribution Algorithms, Evolutionary Computing, Gene Expression Programming, Particle Swarm Optimization Algorithm (PSO)

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