A new algorithm of the scheduling of a flexible manufacturing system based on genetic algorithm

In the flexible manufacturing system, a reasonable production scheduling is crucial in shortening processing completion time and improving equipment utilization. Traditional manual cannot effectively solve complex workshop problems provide solution that meets requirements short period of time, which can lead to decrease efficiency. Aiming at job shop problem, genetic algorithm used find optimal this study, taking number overdue jobs, total comprehensive load rate maximum machine tool as performance indicators algorithm. The chromosomes are designed process gene chain improve diversity robustness chromosome through crossover, variation, selection other processes. impact different parameter settings on each researched by adjusting four algorithm-related parameters, there has been certain improvement results problems. This study provides reference for design optimization based