Quantum-behaved Pigeon-inspired Optimization Algorithm based on Mutation Disturbance

摘要

Aiming at the shortage of the fine search ability in the Quantum-behaved Pigeon-inspired Optimization Algorithm, a new algorithm with mutation disturbance is proposed. Firstly, aiming at the map and compass operator characteristics of solve rough search, Cauchy mutation is adopted for the pigeons when they have not evolved at this stage, so as to enhance the global search ability. Then, aiming at the landmark operator characteristics of solve fine search, Gaussian mutation is adopted for the pigeons when they have not evolved at this stage, so as to enhance the local search ability. Finally, model of pigeons' number factor which likes map and compass factor is built to keep the pigeons in the landmark operator at a certain amount, so as to get the optimal solution. The function test results show that the search speed and accuracy of the improved algorithm are better than other popular algorithms.