<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/9954" mdate="2007-01-27 00:00:00"> <author>Grigorios N. Beligiannis and Georgios A. Tsirogiannis and Panayotis E. Pintelas</author> <title>Intuition Operator Providing Genomes with Reason</title> <pages>160 - 163</pages> <year>2007</year> <volume>1</volume> <number>1</number> <journal>International Journal of Computer and Information Engineering</journal> <ee>https://publications.waset.org/pdf/9954</ee> <url>https://publications.waset.org/vol/1</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>In this contribution, the use of a new genetic operator is proposed. The main advantage of using this operator is that it is able to assist the evolution procedure to converge faster towards the optimal solution of a problem. This new genetic operator is called &amp;amp;39;&amp;amp;39;intuition&amp;amp;39;&amp;amp;39; operator. Generally speaking, one can claim that this operator is a way to include any heuristic or any other local knowledge, concerning the problem, that cannot be embedded in the fitness function. Simulation results show that the use of this operator increases significantly the performance of the classic Genetic Algorithm by increasing the convergence speed of its population. </abstract> <index>Open Science Index 1, 2007</index> </article>