EVALUATION OF GENETIC ALGORITHMS FOR OPTIMAL RESERVOIR SYSTEM OPERATION
EVALUATION OF GENETIC ALGORITHMS FOR OPTIMAL RESERVOIR SYSTEM OPERATION
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DOI：
10.1061/(asce)0733-9496(1999)125:1(25
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发表时间：
1999
影响因子：
3.1
通讯作者：
R. Wardlaw;Mohamed Sharif
中科院分区：
文献类型：
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作者：
R. Wardlaw;Mohamed Sharif
使用四个水库、确定性、有限水平问题对几种可供选择的水库系统遗传算法公式进行了评估。这样做的目的是为执行解决实际问题的办法提出基本指导方针。考虑了可选的表示、选择、交叉和变异方案。结果表明，四库问题最有前景的遗传算法包括实数编码、锦标赛选择、均匀交叉和改进的均匀变异。实值编码的运行速度明显快于二进制编码，并产生更好的结果。已知的四库问题的全局最优解可以用实值编码来实现。文中还考虑了一个非线性的四水库问题，以及一个具有扩展时间范围的问题。结果表明，遗传算法可以很好地应用于随机产生的流量的实时操作。一个更复杂的..。
Several alternative formulations of a genetic algorithm for reservoir systems are evaluated using the four-reservoir, deterministic, finite-horizon problem. This has been done with a view to presenting fundamental guidelines for implementation of the approach to practical problems. Alternative representation, selection, crossover, and mutation schemes are considered. It is concluded that the most promising genetic algorithm approach for the four-reservoir problem comprises real-value coding, tournament selection, uniform crossover, and modified uniform mutation. The real-value coding operates significantly faster than binary coding and produces better results. The known global optimum for the four-reservoir problem can be achieved with real-value coding. A nonlinear four-reservoir problem is considered also, along with one with extended time horizons. The results demonstrate that a genetic algorithm could be satisfactorily used in real time operations with stochastically generated inflows. A more complex ...