【摘 要】
：
介绍了一种基于蜂群繁殖原理的改进遗传算法——蜂群遗传算法(BSGA),采用改进的遗传算子解决了传统遗传算法中“选择压力”和“种群多样性”之间的矛盾。将该算法应用于梯级
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介绍了一种基于蜂群繁殖原理的改进遗传算法——蜂群遗传算法(BSGA),采用改进的遗传算子解决了传统遗传算法中“选择压力”和“种群多样性”之间的矛盾。将该算法应用于梯级水库优化调度的研究中,通过对清江梯级水库群优化调度的实例计算,得到了合理的全局最优解,验证了BSGA的可靠性和实用性。
An improved genetic algorithm based on the principle of bee colony propagation (BSGA) is introduced, and the improved genetic operator is used to solve the problem of “selection pressure ” and “diversity of population ” in the traditional genetic algorithm Conflict between. The algorithm is applied to the research of optimal operation of cascade reservoirs. Based on the example of optimal operation of Qingjiang cascade reservoirs, a reasonable global optimal solution is obtained and the reliability and practicability of BSGA are verified.
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