Study on optimal hydropower operation based on gene-meme co-evolution algorithm
Wang Wan-liang · Journal of Hydroelectric Engineering · 2010
In this paper we develop a gene-meme co-evolution algorithm(GMCA) for the optimal hydropower operation by adopting the gene-meme co-evolution theory and the definitions of meme and culture.We designed a solution procedure for this algorithm and four cultural evolution operators for development,defection,revival and renaissance,studied the method of judging cultural senility,and obtained a GMCA solution for the optimal hydropower operation.Through testing and verification simulations,we demonstrate the higher performance of GMCA relative to that of GA,HGA and PSO algrithms.Thus the present work provides a new idea and technique for optimal hydropower operation.