Abstract—In this paper, a proposal of a new extended binary representation ('Millipede') is made for genetic algorithms (GA). The GA representation may have an important effect on its performance. This paper looks at how single-valued encoding could be enhanced. Initial tests indicate this new solution encoding can be effective. Tests were made using a Genetic Algorithm (GA) package called GAGENES, written in object-oriented C++.
Index Terms—Extended representation, solution encoding, genetic algorithms.
Clyde Meli is with the CIS Department, University of Malta (e-mail: clyde.meli@um.edu.mt).
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Cite:Clyde Meli, "Millipede, an Extended Representation for Genetic Algorithms," International Journal of Computer Theory and Engineering vol. 5, no. 4, pp. 695-697, 2013.
