Analysis and decision of cloud vehicle engineering based on genetic algorithm

Abstract

Green manufacturing is a modern manufacturing mode with significant social and economic benefits, so it is a frontier and hot topic at home and abroad. As the basis of operation technology optimization, management and technology development of green production system, workshop planning plays an important role in the research of green production theory. In recent years, N - P genetic algorithm has been gradually applied in solving workshop optimization problems. In this method, the system generates the initial overall solution of the problem, and then selects the best solution for further improvement. This process continues until all possible solutions are exhausted or through a specified algebra. Genetic algorithms are often used in engineering applications because they provide a decision-making method based on experience rather than relying only on rules and formulas. This technology provides an effective solution for analysis and decision-making by using genetic algorithm, which is helpful to solve the complex problems with limited time and resources.