基于连续蚁群算法的供水水库优化调度

针对供水水库优化调度问题,介绍了一种改进的连续蚁群算法。该算法借鉴蚁群算法的进化思想,主要包括局部搜索、全局搜索和信息素强度更新规则。在随机搜索过程中嵌入确定性搜索,以改善寻优性能,增加经验指导,从而加速收敛。将该算法与离散蚁群算法相比较,结果表明,该算法更优越,具有并行化和较强的全局寻优能力。

Optimal Scheduling of Feeding Reservoir Based on Continuous Ant Colony Algorithm

This article provides a new CACA algorithm,which is appliedin optimal scheduling of feeding reservoir.This algorithm comprises of local searching,global searching and phenomenon updating rule deriving from ACA.It is improved in two respects.One is a deterministicsearching algorithm embedded to improve its optimization performance,the other is the searching strategy based on best experience to accelerate its convergence.The algorithmis proved by a real case,compared with discreteant colony algorithm(DACA).The results show that the algorithmpossesses high searching capability and provides a new approach to solve the problem of optimal scheduling of feeding reservoir.