TY - GEN
T1 - Multiobjective weapon-Target assignment problem by two-stage evolutionary multiobjective particle swarm optimization
AU - Zhou, Deyun
AU - Li, Xiaoyang
AU - Pan, Qian
AU - Zhang, Kun
AU - Zeng, Lina
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/24
Y1 - 2017/1/24
N2 - This paper presents a two-stage evolutionary multiobjective particle swarm optimization (TSMOPSO) algorithm to solve the multiobjective weapon-Target assignment (WTA) problem. In order to improve the convergence and the rate of convergence of the proposed algorithm, a two-stage evolutionary strategy is employed. In the first stage of evolution, the population is evolved by the particle status updating rules defined in particle swarm algorithm (PSO). In the second stage of evolution, a novel evolution operator is designed to update the Pareto front solutions which is obtained in the first stage of evolution. Experiments indicate that TSMOPSO algorithm is an effective method to solve the multiobjective weapon-Target assignment problem, and the convergence and the rate of convergence of this algorithm have an obvious improvement.
AB - This paper presents a two-stage evolutionary multiobjective particle swarm optimization (TSMOPSO) algorithm to solve the multiobjective weapon-Target assignment (WTA) problem. In order to improve the convergence and the rate of convergence of the proposed algorithm, a two-stage evolutionary strategy is employed. In the first stage of evolution, the population is evolved by the particle status updating rules defined in particle swarm algorithm (PSO). In the second stage of evolution, a novel evolution operator is designed to update the Pareto front solutions which is obtained in the first stage of evolution. Experiments indicate that TSMOPSO algorithm is an effective method to solve the multiobjective weapon-Target assignment problem, and the convergence and the rate of convergence of this algorithm have an obvious improvement.
KW - Evolutionary multiobjective optimization
KW - Multiobjective optimization
KW - Multiobjective particle swarm optimization
KW - Weapon-Target assignment
UR - http://www.scopus.com/inward/record.url?scp=85015737259&partnerID=8YFLogxK
U2 - 10.1109/ICInfA.2016.7831950
DO - 10.1109/ICInfA.2016.7831950
M3 - 会议稿件
AN - SCOPUS:85015737259
T3 - 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016
SP - 921
EP - 926
BT - 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016
Y2 - 1 August 2016 through 3 August 2016
ER -