A Software System to Solve the Multi-Criteria Optimization Problem with Stochastic Constraints

作     者：Bohdanova, L. M. Vasilyeva, L. V. Guzenko, D. E. Kolodyazhny, V. M. 

作者机构：Donbass State Mech Engn Acad Kramatorsk Ukraine Kharkiv Natl Automobile & Highway Univ Kharkov Ukraine 

出 版 物：《CYBERNETICS AND SYSTEMS ANALYSIS》 (控制论和系统分析)

年 卷 期：2018年第54卷第6期

页      面：1013-1018页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：technological process machining optimization neural networks genetic algorithm hybrid algorithm stochastic optimization Java programming language 

摘      要：The paper presents a genetic algorithm for multicriteria optimization of parameters of a technological process, which finds a solution not from a certain point but from a specified population. The objective functions are used without their derivatives and probabilistic choice rules are applied. The multicriteria optimization is based on finding a solution that simultaneously optimizes the machining parameters defined by functions of productivity, tool consumption, tool cost, etc.