Particle Swarm Optimization Method Based on Weighted Dynamic Constraints for Interactive Intelligent Fish Swarm

Authors

Xingquan Cai, 1. School of Computer Science, North China University of Technology, Beijing 100144, China;;
Buni Honghao, 1. School of Computer Science, North China University of Technology, Beijing 100144, China;;
Mengxuan Li, 1. School of Computer Science, North China University of Technology, Beijing 100144, China;;
Fengxia Li, 2. Beijing Laboratory of Intelligent Information Technology, Beijing Institute of Technology, Beijing 100081, China;

Abstract

Abstract: For particle swarm algorithm not being applied to the rapid evolution of virtual biological cluster in short range, a particle swarm optimization method was provided that oriented to interactive intelligent fish with weight dynamic constrained. This method let particle swarm through the state of the particle separation, and dynamic constraint particle swarm. This method used the concept of "convergence coefficient manager" to retain the differential movement between the particles. On this basis, setting the evaluation function and using the dynamic constraint weights, the fast particle swarm was completed, applying to virtual biological cluster. The experiments results show the best weights dynamic constraint effect in large-scale virtual biological cluster and intelligent fish pattern movement, and this method is more effect than common particle swarm optimization algorithm, and accelerates significantly. And this method has been used in the development of virtual aquarium system with stable and reliable.

Recommended Citation

Cai, Xingquan; Honghao, Buni; Li, Mengxuan; and Li, Fengxia (2020) "Particle Swarm Optimization Method Based on Weighted Dynamic Constraints for Interactive Intelligent Fish Swarm," Journal of System Simulation: Vol. 28: Iss. 10, Article 28.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss10/28

First Page

2490

Revised Date

2016-07-14

DOI Link

https://doi.org/

Last Page

2496

CLC

TP391

Recommended Citation

Cai Xingquan, Buni Honghao, Li Mengxuan, Li Fengxia. Particle Swarm Optimization Method Based on Weighted Dynamic Constraints for Interactive Intelligent Fish Swarm[J]. Journal of System Simulation, 2016, 28(10): 2490-2496.