Title :
A novel approach to solving weapon-target assignment problem based on hybrid particle swarm optimization algorithm
Author :
Zhu Bo ; Zou Feng-Xing ; Wei Jia-hua
Author_Institution :
Dept. of Autom. Control, Nat. Univ. of Defense Technol., Changsha, China
Abstract :
This paper presents an approach based on hybrid particle swarm optimization to solve weapon-target assignment (WTA) problem. The mathematical model of WTA problem is explained in detail. Then the idea of basic particle swarm optimization (PSO) is introduced. A hybrid PSO algorithm (HPSO) is structured by introducing the mutation operator and changing the inertia weight with the generation. The results of simulation indicate that this approach is effective to solve WTA problem.
Keywords :
particle swarm optimisation; weapons; HPSO algorithm; WTA problem; hybrid particle swarm optimization algorithm; mutation operator; weapon-target assignment problem; Acceleration; Genetic algorithms; Mathematical model; Optimization; Particle swarm optimization; Resource management; Weapons; hybrid PSO (HPSO); particle swarm optimization (PSO); weapon-target assignment (WTA);
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023352
