M-elitist Evolutionary Algorithm and Its Application to V-BLAST System
Mu Cai-hong①; Jiao Li-cheng①; Liu Yi②③
①Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Institute of Intelligent Information Processing, Xidian University, Xi'an 710071, China; ②State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China; ③School of Electronic Engineering, Xidian University, Xi'an 710071, China
Abstract：A new algorithm named as M-elitist Evolutionary Algorithm (MEA) is presented with low complexity and high performance to approach the performance of Maximum-Likelihood(ML) detection, for solving the problem of the high complexity of ML detection in real-time Vertical- Bell laboratories LAyered Space-Time (V-BLAST) communication system. The simulation of one knapsack problem validates the effectiveness of MEA to solve combinatorial optimization problems. Furthermore, the simulation of V-BLAST communication system shows that the MEA-based detection algorithm can approach the performance of ML well, and is superior to the detection algorithm based on standard genetic algorithm and that based on clonal selection algorithm as well as some classical ones.
2009, Vol. 31 
