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提出了“基因遗传算法 +惩罚函数法”的通用算法 ,并从中发现 ,它非常适合求解复杂的非线性约束优化问题。该方法与传统的优化方法相比 ,可取得较为理想的全域最优解 ,同时该方法也改善了基因遗传算法的局限性
The general algorithm of “Genetic Algorithm + Penalty Function” is proposed, and it is found that it is very suitable for solving complex nonlinear constrained optimization problems. Compared with the traditional optimization methods, this method can achieve an ideal global optimal solution, and the method also improves the limitations of the genetic genetic algorithm