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A Online Demo of Evolutionary Programming Using a Mixed Mutation Strategy for Solving Function Optimization (2008)

Abstract
Abstract. This paper presents an online demo of evolutionary programming using a mixed mutation strategy for solving function optimization problems. The strategy combines three different mutation operators: Gaussian, Cauchy and Lévy 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 mutation strategies can produce high quality solutions on most of 14 benchmark functions. 1

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.95.9323
Source http://www.cs.bham.ac.uk/~jxh/2005ukci.pdf
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Type text
Language English
Relation 10.1.1.39.6926, 10.1.1.14.1492, 10.1.1.6.2145, 10.1.1.22.3251, 10.1.1.4.209, 10.1.1.64.8447