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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.
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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.
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