Taking minimizing annual operating cost as an object function, the method employed hereditary algorithm to get optimal compensatory places (non-node) and capacity.
该算法以年运行费用最小为目标函数，运用遗传算法求出最佳的补偿地点(非节点)和最优补偿容量。
Choice of ADPCM's step-size updating factors m had a sea capacity of computing which optimizes multi-variables with complex cost function.
选择adpcm的步长修正因子M涉及复杂目标函数的多变量优化，是一个海量计算问题。
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