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遗传算法与惩罚函数法在机械优化设计中的应用
Application of genetic algorithm and penalty function method in machine optimal design
【摘要】 提出了应用于机械优化设计的"遗传算法+惩罚函数法"的通用算法.它非常适合求解复杂的非线性约束优化问题.本通用算法既克服了传统优化方法的缺点,得到了一个较为理想的全域最优解;同时也改善了遗传算法的局限性.
【Abstract】 This paper describes a machine optimal design algorithm through the combination of GA (Genetic Algorithm) with penalty function method. The study shows it is effective for solving complex nonlinear constraint optimum problems. Compared with traditional optimum methods, this method can obtain an ideal global optimum result. In addition, this method also avoids the limitations in GA.
【关键词】 遗传算法;
惩罚函数法;
机械优化设计;
【Key words】 genetic algorithm; penalty function method; machine optimal design;
【Key words】 genetic algorithm; penalty function method; machine optimal design;
【基金】 上海交通大学PRP基金项目资助(NO.035403)
- 【文献出处】 中国计量学院学报 ,Journal of China Institute of Metrology , 编辑部邮箱 ,2004年04期
- 【分类号】TH122
- 【被引频次】53
- 【下载频次】1389