关键词: 类电磁机制算法, 反向学习机制, 扰动, 双混沌, 全局优化

Abstract:

An improved Electromagnetism-like mechanism algorithm is proposed to overcome the drawbacks of the original EM algorithm, such as strong randomness of the initial population, low ability for local search and low efficiency in the movement according to the total force. The new algorithm generates the initial population with the disturbance factor and opposite learning mechanism, improves the local search algorithm with the double chaotic search method, and calculates the total force between particles with the modified equation. Besides, the algorithm is used to design an adaptive move operator for updating the locations of those particles. Experimental results indicate that the proposed algorithm has a better convergence effect and a higher solution accuracy.

Key words: electromagnetism-like mechanism algorithm, opposite learning mechanism, disturbance, dual chaotic search, global optimization