Complex product production line performance optimization method based on genetic algorithm

Abstract

The invention provides a complex product production line performance optimization method based on a genetic algorithm, and the method comprises the steps: analyzing each part machining process route of a complex product, and determining all completed part machining characteristics of each machining process; generating a manufacturing node-oriented processing process route according to the constraint of each processing feature selectable equipment set, and coding the manufacturing node-oriented processing process route; and carrying out optimality discrimination on the complex product processing process matrix, and if the requirement is met, decoding according to the mapping relation to generate a part processing process route with good performance optimization. According to the invention,a genetic algorithm is adopted, an integer coding model is adopted, and crossover and variation operations are carried out in a range of the selectable equipment set limited by manufacturing features,so that searching and selection of a process route are realized. According to the method, two problems of reliability and balance of a complex product production line are comprehensively considered,an optimal solution is sought in a huge feasible solution space, and an optimization result is more reliable.

Description

technical field [0001] The invention belongs to the technical field of performance optimization of manufacturing systems, and in particular relates to a method for optimizing the performance of complex product production lines based on genetic algorithms. Background technique [0002] Complex products usually contain many components, complex structural relationships, complex manufacturing processes, high manufacturing accuracy and reliability requirements, and huge processing costs. Typical complex products include spacecraft, aircraft, automobiles, complex electromechanical products, and weapon systems. Such products usually involve multidisciplinary fields such as mechanics, controls, electronics, software, hydraulics and pneumatics. The manufacturing and processing of complex products often involves a lot of manpower, material resources, and financial resources, which is undoubtedly challenging for the manufacture of complex products. [0003] In a complex product produc...

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Problems solved by technology

[0005] The main purpose of the present invention is to provide a method for optimizing the performance of complex product production lines based on genetic algorithms in order to solve the reliability and balance problems of complex product production lines. By using genetic algorithms, the reliability and balance of complex product production lines are comprehensively considered. Seek the optimal solution in the feasible solution space, so as to obtain the complex product line process route with optimized performance

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