Title :
A modified genetic algorithm for solving nonlinear hybrid optimization problem
Author :
Minle, Wang ; Xiaoguan, Gao ; Liu Guangbin
Author_Institution :
Second Artillery Eng. Inst., Xi´´an, China
Abstract :
This paper, aims at the problem of solving nonlinear hybrid integer programming using the modified genetic algorithm on the basis of designing new encoding scheme and genetic operators. Applied to the problem of missile effectiveness optimization in attacking group targets, the new algorithm proves to be effective and efficient.
Keywords :
genetic algorithms; integer programming; missiles; nonlinear programming; encoding scheme; genetic operators; group targets; modified genetic algorithm; nonlinear hybrid integer programming; nonlinear hybrid optimization problem; Algorithm design and analysis; Design engineering; Design optimization; Encoding; Genetic algorithms; Genetic engineering; Linear programming; Missiles;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1341970
