Mutation of a genome based on gausian distribution arrount the genome with fixed sigma values.
Mutation that doesn't modify the genome.
Layer of the cake for the mutation operation.
Polynomial mutationolynomial mutation by Deb and Goyal.
Mutation of a genome based on gausian distribution arrount the genome with adaptive sigma values.
Mutation of a genome based on gausian distribution arrount the genome with adaptive sigma values. See on the web : http://www.nashcoding.com/2010/07/07/evolutionary-algorithms-the-little-things-youd-never-guess-part-1/#fnref-28-1 See on paper : Gaussian mutation and self adaptation (Hinterding) && Parameter Control in Evolutionary Algorithms (Agoston Endre Eiben, Robert Hinterding, and Zbigniew Michalewicz, Senior Member, IEEE) + How to Solve It, Modern Heuristics
Polynomial mutationolynomial mutation by Deb and Goyal. If is the value of the ith parameter selected for mutation with a probability pm and the result of the mutation is the new value obtained by a polynomial probability distribution. Based on the source code of Jmetal library Author : Antonio J. Nebro <[email protected]> and Juan J. Durillo <[email protected]>