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基于自适应遗传算法的金盆水库优化调度研究

Application of Adaptive Genetic Algorithms to Optimal Dispatching of Jinpen Reservoir

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【作者】 付永锋; 沈冰; 李智录; 张西乾;

【Author】 FU Yong-feng~1 SHEN Bing~1 LI Zhi-lu~1 ZHANG Xi-qian~2 (1.Research Institute of Water Resource, Xi’an Univ. of Tech., Xi’an 710048, China; 2.Headquarters of Heihe Water Diversion Project, Xi’an 710061, China)

【机构】 西安理工大学水资源研究所; 西安黑河工程指挥部技术处 陕西西安710048; 陕西西安710048; 陕西西安710061;

【摘要】 根据黑河金盆水库的具体情况,建立了水库优化调度的多目标非线性数学模型,分别利用动态规划、遗传算法和自适应遗传算法求解模型。结果表明,自适应遗传算法由于能够根据群体适应度的分散程度以及个体优劣进行参数的自适应调整,使得算法在保持种群多样性的同时,保证算法的收敛性,其收敛速度和计算结果都明显优于其他两种算法。

【Abstract】 Based on the analysis of the characteristic situation of Jinpen Reservoir, a comprehensive optimal operation model is developed with consideration of its multi-objective and nonlinear features. The model is based on methods of dynamic programming, the simple genetic algorithm and the adaptive genetic algorithm. It is showed that the adaptive genetic algorithm, with the character of its parameter adjusted adaptively according to the dispersion degree of population and the fitness value of individuals, has the fastest convergence velocity and the best result, compared to other two algorithms.

  • 【文献出处】 水电能源科学 ,Hydroelectric Energy , 编辑部邮箱 ,2004年03期
  • 【分类号】TV697
  • 【被引频次】20
  • 【下载频次】293
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