解平面四杆机构约束优化问题的改进遗传算法

Genetic Algorithm for Constrained Optimization of Four Bar Linkage

以平面四杆机构约束优化设计这一实际问题为背景，针对传统遗传算法（ＧＡ）存在的问题，提出了一种新的将柯西机（ＣＭ）和遗传算法相结合的改进遗传算法（ＭＧＡ）．数值计算结果表明，该算法避免了ＧＡ算法中的早熟收敛问题，可获得四杆机构参数优化问题的最优解，并且还具有收敛速度快等特点．

Optimum design of four bar Linkage in two dimension is used to develop a genetic algorithm in conjunction with the Cauchy Machine. Premature convergence is eliminated permitting the global optimization of solution in addition to improving the speed of convergence.