火力与指挥控制2016，Vol.41Issue(3)：89-92,96,5.
分布式遗传模拟退火算法的火力打击目标分配优化
Optimization for Target Assignment in Fire Strike Based on Distributed Genetic Simulated Annealing Algorithm
吴坤鸿 1詹世贤2
作者信息
- 1. 解放军73630部队，福州 350002
- 2. 军事科学院军事运筹分析研究所，北京 100091
- 折叠
摘要
Abstract
According to the rules of fire strike,a target assignment model is presented,and a Distributed Genetic Simulated Annealing algorithm (DGSA)is applied to resolve this model. DGSA is improved based on classic Genetic Algorithm (GA)as below:the single object serial-searched mode is changed to multiple objects distributed-searched mode,which is fitter for resolving multiobjective optimization; in order to keep a better balance between exploration and exploitation of algorithm,a method by coupling best one preservation and roulette wheel is established for individual selection,and simulated annealing algorithm is combined into crossover operation,and self -adaptive mutation probability is applied. Finally,the efficiency and reliability of DGSA is verified by simulation experiment.关键词
火力打击目标分配/多目标优化/遗传算法/模拟退火算法Key words
target assignment in fire strike/multiobjective optimizations/genetic algorithm/simulated annealing algorithm引用本文复制引用
吴坤鸿,詹世贤..分布式遗传模拟退火算法的火力打击目标分配优化[J].火力与指挥控制,2016,41(3):89-92,96,5.
