Pareto多目标遗传算法及其在机械健壮设计中的应用

在机械或结构的优化设计中，普遍存在约束的作用，且最优解往往位于可行域的边界上，由于外界环境的变化或人为因素造成设计变量，可能使设计成为不可行。本文提出了一种的基本设计变量敏感的健壮性设计方法，并提出了一种用Ｐａｒｅｔｏ遗传算法来实施的带约束的多目标优化方法以 解健壮性问题。Ｐａｒｅｔｏ遗传算地可得到Ｐａｒｅｔｏ最优解集，从中可选出满足设计需要的解。本文提出的算法包括５个基本算予，选择、变异、交叉、

Robust Design for Mechanical/Structural System using Pareto Multiobjective Optimization GA

There exist constraints in the optimization design of mechanical/structural system,which makes the optimal points on the boundary of the feasible area.Small variability is likely to make the design infeasible and useless.A general method for Robust Design is presented based on sensitivity of objective and constraint function to the design parameters.Pareto GA is used to deal with multiobjective optimization problem with constraints.which generates Pareto optimal sets.from this set,Decision maker can chose the best point.