In this paper two new methods of an evolutionary algorithm control are proposed. The first one is a new method of tuning probabilities of genetic operators. The second idea developed in this paper is a self-adapting method of selection. Two new methods of object selections are proposed: a histogram selection and a mixed selection. Also advantages of passing them into the evolutionary algorithm are shown, using examples based on scheduling and TSP.
Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.
May 10, 2021
Jan 13, 2020
|RB-2001-22 : Stańczak Jarosław : Biologically inspired methods of an evolutionary algorithm control||May 10, 2021|
Mühlstein, Anatol (1889–1957)
Wieczorek, Joanna Błażejczyk, Krzysztof Morita, Takeshi