The Chaos-Based Shuffled Frog Leaping Algorithm and Its Application

Shuffled Frog Leaping Algorithm (SFLA) is a new meta-heuristic evolutionary algorithm with simple algorithm structure and fast calculation speed. In this paper, a novel algorithm based on SFLA and chaos search is presented. This algorithm uses chaos search to generate neighborhoods of extremum so as to maintain solution diversity and get rid of local optimal solution when the individual stops evolution. The numerical experiments results show it outperforms standard SFLA. Finally, the proposed algorithm is used to solve the problem of mid-long term optimal operation of cascade hydropower stations and is compared with other two algorithms. The operation results show its feasibility and high efficiency.