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K-Bit-Swap: A New Operator For Real-Coded Evolutionary Algorithms
Ter-Sarkisov, Aram; Marsland, Stephen
There has been a variety of crossover operators proposed for Real-Coded Genetic Algorithms (RCGAs), which recombine values from the same location in pairs of strings. In this article we present a recombination operator for RC- GAs that selects the locations randomly in both parents, and compare it to mainstream crossover operators in a set of experiments on a range of standard multidimensional optimization problems and a clustering problem. We present two variants of the operator, either selecting both bits uniformly at random in the strings, or sampling the second bit from a normal distribution centered at the selected location in the first string. While the operator is biased towards exploitation of fitness space, the random selection of the second bit for swap- ping makes it slightly less exploitation-biased. Extensive statistical analysis using a non-parametric test shows the advantage of the new recombination operators on a range of test functions. K-Bit-Swap: A New Operator For Real-Coded Evolutionary Algorithms. Available from: [accessed Oct 12 2017].
Keyword(s): K-Bit-Swap; Real-Coded; Evolutionary Algorithms; Computer Engineering
Publication Date:
Type: Journal article
Peer-Reviewed: Unknown
Institution: Dublin Institute of Technology
Citation(s): Articles
Publisher(s): Dublin Institute of Technology
File Format(s): application/pdf
First Indexed: 2017-10-13 09:06:17 Last Updated: 2017-12-14 06:57:10