Cooperative multiple target assignment of submunitions based on Chaos-PSO algorithm

Xuzhong Wu; Shengjing Tang; Jiao Shi

doi:10.1117/12.906116

28 October 2011 Cooperative multiple target assignment of submunitions based on Chaos-PSO algorithm

Xuzhong Wu, Shengjing Tang, Jiao Shi

Proceedings Volume 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization; 82052L (2011) https://doi.org/10.1117/12.906116
Event: 2011 International Conference on Photonics, 3D-imaging, and Visualization, 2011, Guangzhou, China

Abstract

In this paper Multi-Objective particle swarm optimization (MOPSO) algorithm is utilized to solve the problem for cooperative multiple target assignment, which is the optimization problem in the discrete search space. At first a model of multi-objective optimization for Cooperative Multiple Target Assignment is established. Aiming to solve out the local convergence phenomenon, the chaos mutation is introduced into PSO for improving global optimal ability. Another underlying problem is that computing speed of the algorithm must meet the operational requirement, so a new kind of Chaos-MOPSO Algorithm is developed to solve the target assignment problem with less population and iterations. At last an authentication example is given in this paper, compared with basic MOPSO and NSGA-II, the Chaos-MOPSO algorithm obtained a better Pareto solution set with smaller computational burden.

Citation Download Citation

Xuzhong Wu, Shengjing Tang, and Jiao Shi "Cooperative multiple target assignment of submunitions based on Chaos-PSO algorithm", Proc. SPIE 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization, 82052L (28 October 2011); https://doi.org/10.1117/12.906116

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