Title :
Adaptive genetic algorithm for optimal selection of non-uniform code based on Euclidean distance
Author :
Zhang Mingbo ; Luo Feng ; Wu Shunjun
Author_Institution :
Nat. Key Lab. of Radar Signal Process., Xidian Univ., Xi´an
Abstract :
A novel adaptive genetic algorithm based on Euclidean distance (EAGA) is presented. This algorithm can strengthen and preserve the diversity of population. Meanwhile some improvements are implemented to prevent degeneration during the optimization process by introducing new individuals generated by certain rules into the group. Compared with the other three algorithms, EAGA shows an effective global search capacity.
Keywords :
genetic algorithms; radar signal processing; signal sampling; Euclidean distance; adaptive genetic algorithm; global search capacity; non-uniform code; radar signal sampling; staggered code; Euclidean distance; adaptive control; genetic algorithm; staggered code;
Conference_Titel :
Radar Conference, 2009 IET International
Conference_Location :
Guilin
Print_ISBN :
978-1-84919-010-7
