Weapon-target Assignment with Multi-objective Non-dominated Set Ranking Genetic Algorithm
CHEN Si
HU Tao
Abstract：Aiming at solving weapon‐target assignment(WTA) problems ,a multi‐objective optimization model is estab‐lished based on maximum optimal damage probability and minimum the firepower number .Application the Pareto non‐domi‐nated set ranking method ,non‐dominated set ranking genetic algorithm(NSGA‐Ⅱ) is presented to solve the multi‐objective optimization WTA problems .The population's fitness is evaluated by the non‐dominated set rank ,the diversity evolution op‐eration is evaluated by genetic algorithm(GA) .The proposed NSGA‐Ⅱ algorithm is simple ,perfect performance and can provide Pareto‐optimal front to support decision .The simulation experiment gives good WTA result which verifies the cor‐rectness and effectiveness of the proposed algorithm .
Keywords：multi-objective optimizationgenetic algorithmweapon-target assignmentnon-dominated set rankingPareto set
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 54-57,100 )