Adaptive Immune Genetic Algorithm for Optimization Reservoir Dispatching
Reservoir optimization dispatching involves nonlinear optimization in their solution with high dimensionality and large number of constraints. Often the conventional techniques fail to yield global optimal solutions. The recently proposed evolutionary algorithms are also facing problems, while solving large-scale problems. In this paper, an adaptive immune genetic algorithm (AIGA) is proposed to solve optimizing reservoir operation. Because of the AIGA can adjust adaptively the genetic operation parameters; and ensure diversity of population according to the value of individual fitness, and selection strategy based on density. This method effectively avoids premature convergence phenomenon. Case results show that this algorithm effectively restrains premature convergence, greatly improves global search performance and increases converging speed.
Adaptive Immune genetic algorithm Reservoir Optimal dispatching
Dong Wensheng Zhang Xinzhong Liu Xuemei
Institute of Yellow River Science North China Institute of Water Conservancy and Hydroelectric Power Department of Architecture North China Institute of Water Conservancy and Hydroelectric Power Zhengz
国际会议
成都
英文
41-44
2010-06-12（万方平台首次上网日期，不代表论文的发表时间）