Back analysis on mechanical parameters based on a master-slave parallel genetic algorithm

Abstract

By combining the inherent parallelism of genetic algorithms with the high-speed parallelism of cluster system, a back analysis method of mechanical parameters based on a master-slave parallel genetic algorithm is presented. Several improved methods are adopted: real code is used to shorten the length of individual code and reduce the search space; dynamic tasks allocation is used to avoid uneven processor efficiency; loose coupling method is used to couple a master-slave parallel genetic algorithm with a numerical software. Besides theoretical analysis, the back analysis program is written and compiled in C, and it is also tested by a standard elastic problem. The test results indicate the back analysis program can get high precision and approach linear speedup ratio along with the increase of problem size. Therefore, this back analysis method is applicable and propagable, which can satisfy the timeliness of engineering.