Improved grey wolf optimization based on the Quantum-behaved mechanism
Wei Gu, Baokang Zhou · 2019
Grey Wolf optimization algorithm is a new swarm intelligence optimization algorithm proposed in recent years. It has strong local search ability but weak global search ability. An improved grey wolf optimization is proposed, which combining quantum behavior strategy with grey wolf optimization algorithm, to prevent the algorithm from falling into local optimum. 5 benchmark functions are used to compare with other improved grey wolf optimization algorithms, which proves that the proposed algorithm has better optimization performance.