A online demo of evolutionary programming using a mixed mutation strategy for solving funcstion optimization

Hao WU, Jun HE, Xin YAO

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

3 Citations (Scopus)

Abstract

This paper presents an online demo of evolutionary programming using a mixed mutation strategy for solving function optimization problems. The strategy com- ines three different mutation operators: Gaussian, Cauchy and Levy mutations. The algorithm has been implemented by a client-server web application, which is convenient for users to access through Internet. The web application architecture is divided into two parts: A client to deal with users' input and a server to execute the computation. Experiments have shown that EP using mixed muta- Tion strategies can produce high quality solutions on most of 14 benchmark functions.
Original languageEnglish
Title of host publicationProceedings of the 2005 UK Workshop on Computational Intelligence, UKCI 2005
Pages264-271
Number of pages8
Publication statusPublished - 2005
Externally publishedYes

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