Improved genetic algorithm and its application on multi-object optimization design

Genetic algorithm is a kind of heuristic optimal computing method that simulate the evolution process of natural world,and possessing the characteristics of high efficiency and could convergence to the overall optimal point.Aimed at the feature of weak local searching ability of the genetic algorithm,let it be combined with the gradient descending method so as to raise its partial searching ability,and a test has been carried out.And then an optimal calculation combining with a multi-object engineering problem was carried out,the result shows that this algorithm could effectively resolve the optimization of engineering problems.