摘要
提出一种基于混沌优化算法和蚁群算法相结合的混合算法,在求解水库优化调度问题的方法。根据混沌变量的随机性和遍历性,利用混沌变量进行优化搜索,从而有效地克服了蚁群算法存在的效率低、易于演化停滞及陷入局部最优等问题。又利用蚁群算法信息素正反馈的优点,改善了混沌搜索的盲目性,提高了搜索的效率。通过实例计算,结果表明该算法具有效率高及较强的全局寻优能力。
The mixing algorithm based on the chaos-optimization algorithm and ant colony algorithm is proposed in this paper.It is the method for solving the optimal operation question of a reservoir.According to the randomness and ergodicity of chaos,by searching all the chaos variables and passing all the statuses,the mixing algorithm can effectively increase the computing efficiency,is easy to evolve the stagnation and could not fall into the local optimization. And by using the advantage of positive-feedback information of the ant colony algorithm,the blindness of chaos searching is improved and the seaching efficiency is enhanced.The result indicates that the algorithm is very efficient and can seek the global optimization by examples.
出处
《水利与建筑工程学报》
2007年第4期31-34,共4页
Journal of Water Resources and Architectural Engineering
基金
河南省高校人才支持计划(2006HANCET-03)
河南省软科学研究(0613032000)
关键词
水库
优化调度
混沌优化算法
蚁群算法
reservoir
optimal operation
chaos optimization algorithm
ant colony algorithm
