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Algorithm for solving the bi-level decision making problem with continuous variables in the upper level based on genetic algorithm

机译:基于遗传算法的高层连续变量双层决策问题求解算法

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摘要

Based on genetic algorithms, a solution algorithm is presented for the bi-level decision making problem with continuous variables in the upper level in accordance with the bi-level decision making principle. The algorithm is compared with Monte Carlo simulated annealing algorithm, and its feasibility and effectiveness are verified with two calculating examples.
机译:在遗传算法的基础上,根据双层决策原则,提出了一种在上层具有连续变量的双层决策问题的求解算法。将该算法与蒙特卡罗模拟退火算法进行了比较,并通过两个算例验证了该算法的可行性和有效性。

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