Sensor-target Assignment with Multi-objective NSGA- Ⅱ Algorithm
WU Jiangang
ZHAN Guangping
ZHANG Daiguo
Abstract：The sensor-target assignment problem is transformed into a multi-objective optimization model ,which is based on maximum detection efficiency and minimum the used sensor resource .The non-dominated set ranking genetic algo-rithm(NSGA- Ⅱ ) is presented to solve the multi-objective optimization sensor-target assignment problem .The population's fitness is evaluated by the non-dominated set rank ,the diversity evolution operation is evaluated by genetic algorithm (GA) . The proposed NSGA- Ⅱ algorithm can provide Pareto-optimal front .The simulation experiment gives good assignment re-sult .
Keywords：multi-objective optimizationgenetic algorithmsensor-target assignmentnon-dominated set rankingPa-reto set
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 32-34,56 )