Adaptive Collaborative Quantum-Inspired Evolutionary Algorithm for Global Numerical Functions

• Main Authors: Liang Zhou, Ming Shao, Chengqian Ma
• Format: Article
• Language: English
• Published: EDP Sciences 2018-01-01
• Series: ITM Web of Conferences
• Online Access: https://doi.org/10.1051/itmconf/20181602010

A novel adaptive collaborative quantum-inspired evolutionary algorithm (ACQEA) is proposed by combining the collaborative evolution and adaptive mutation mechanism together in this paper. In ACQEA, the whole population will be divided into multi sub-populations which can complete the evolution independently, and then the collaborative evolution mechanism is used to make these multi sub-populations full exchange their evolution information in operation process. In addition, the adaptive mutation and update strategies are implemented in order to give ACQEA the power to explore its search space on the basis of characteristic information of the elite individual and corresponding population diversity. Finally, the proposed ACQEA is compared with existing quantum evolution algorithm (QEA) in solving global numerical functions and the experiments results verify that the advantages of ACQEA on convergence rate and searching accuracy.