Quantum particle swarm optimization algorithm with adaptive mutation

A Quantum Particle Swarm Optimization Algorithm with Adaptive Mutation(AMQPSO) is given.When the proposed algorithm is found to sink into the local optimization by fitness variance and space position aggregation degree,a new adaptive mutation operator is implemented at the best position of each particle at first so as to realize global optimization.The experiments show that the AMQPSO is better than QPSO and the AMPSO in global optimization.