*Hybrid chaotic enhanced acceleration particle swarm optimization algorithm*

**DOI:**297 Downloads 6625 Views

**Author(s)**

**Abstract**

In view of the recently proposed acceleration particle swarm optimization with strong global search capability, a chaos enhanced particles swarm optimization algorithm based chaos theory is proposed. Hybrid chaotic sequence is introduced to adjust the global learning factor, and the algorithm can further increase the global search ability. The performance of the algorithm is verified by testing four typical multi-objective optimization functions, and compared with the classic noninferiority classification multi-objective genetic algorithm, multi-objective particle swarm optimization algorithm and acceleration particle swarm optimization algorithm. The result shows that the Hybrid chaotic acceleration particle swarm optimization algorithm has faster convergence speed and stronger ability to jump out of local optimization, and the performance is superior.

**Keywords**

Particle Swarm Optimization; Hybrid chaotic; Acceleration algorithm.

**Cite this paper**

Mengshan LI, Huaijin ZHANG, Bingsheng CHEN, Lixin GUAN, Yan WU,
Hybrid chaotic enhanced acceleration particle swarm optimization algorithm
, *SCIREA Journal of Computer*.
Volume 3, Issue 1, February 2018 | PP. 16-30.

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