부산대학교 도서관

The coordination of multiple processes in roadbed construction can achieve corresponding engineering goals, and the reasonable scheduling of process combination equipment is conducive to the reduction of overall engineering costs and the improvement of overall construction efficiency. Based on genetic algorithm, this paper uses genetic algorithm with penalty function to optimize the selection of mechanical equipment for different processes of several objectives in highway construction. By establishing an optimization model with the goal of reducing construction costs and construction power, and using the construction requirements of each equipment as constraint conditions, multi-objective optimization is carried out using genetic algorithm settings to find the optimal mechanical equipment process scheduling plan. Case analysis shows that using genetic algorithm for mechanical equipment optimization can output the optimal results of minimum cost and minimum energy consumption while considering the completion of the project. Compared with genetic algorithm, the improved niche genetic algorithm with penalty function can achieve optimal scheduling and reduce the overall number of iterations.