改进的遗传算法及其在多目标优化设计中的应用

遗传算法是一种模拟自然界进化过程的启发式优化计算算法，具有高效及可收敛到全局最优点的特点。文中针对遗传算法局部搜索能力弱的特点，将其与梯度下降法结合，提高其局部搜索能力，并进行了测试。然后结合一多目标工程问题进行了优化计算，结果表明此算法可有效解决工程问题的优化。

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 he 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 multiobject engineering problem was carried out, the result shows that this algorithm could effectively resolve the optimization of engineering problems.