Cybernetics And Systems Analysis
International Theoretical Science
Journal
Abstract. The paper presents a genetic algorithm for multicriteria optimization of technological process parameters, which searches for a solution not from a certain point but from a specified population. The objective functions are used without their derivatives, probabilistic rules of choice are applied. Multicriteria optimization is based on finding a solution that simultaneously optimizes the machining parameters defined by functions of productivity, tool consumption, tool cost, etc.
Keywords: technological process, mechanical processing, optimization, neural networks, genetic algorithm, hybrid algorithm, stochastic optimization, Java programming language.
