Title :
The application of adaptive reduction genetic algorithm in radar equipment damage evaluation method
Author :
Zhang Yu ; Pan Wei
Author_Institution :
Training Dept., Shenyang Artillery Acad., Shenyang, China
Abstract :
The paper proposes a rough set attribute reduction algorithm based on AGA, that in order to achieve effectively at tribute reduction, The core is joined initial population in AGA in order to accelerate capability. According to the dependability of decision attribute to the condition attribute, it can but only obtain the capability of part searching, but also retain the peculiarity of all searching. The adaptive crossover probability and adaptive mutation probability are designed, considering the influence of every generation to algorithm and the effect of different individual fitness in every generation. Experimental results show that the accurate reduction and the average algebraic sum all obtain the preferable values.
Keywords :
genetic algorithms; probability; radar equipment; rough set theory; AGA; adaptive crossover probability; adaptive mutation probability; adaptive reduction genetic algorithm; condition attribute; decision attribute dependability; part searching capability; radar equipment damage evaluation method; rough set attribute reduction algorithm; Algorithm design and analysis; Biological cells; Genetic algorithms; Genetics; Information systems; Rough sets; adaptive reduction genetic algorithm; crossover probability; mutation probability; relative reduction; rough sets;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561059