关键词: 量子进化, 竞争决策, 进化博弈, 函数优化

Abstract: This paper proposes a novel optimization algorithm-quantum competitive decision algorithm，which is based on competitive decision algorithm，evolutionary game theory and quantum evolutionary algorithm.The quantum individuals as game players are introduced into optimization.The algorithm makes competitors possess the abilities of self-learning and self-evolution by competitive force function，decision function and quantum gate updating.The population diversity is increased by superposition characteristic and other characteristics.The results of experiments on typical complex function optimization and comparison with other algorithms show that the algorithm can avoid local optimization and has a stronger global optimization capability.

Key words: quantum evolution, competition and decision, evolutionary game, function optimization