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FAST CONVERGENT MONTE CARLO RECEIVER FOR OFDM SYSTEMS
《Journal of Electronics(China)》2005年第3期209-219,共11页WuLili LiaoGuisheng BaoZheng ShangYong 
Partially supported by the National Natural Science Foundation of China (No.60172028).
The paper investigates the problem of the design of an optimal Orthogonal Fre- quency Division Multiplexing (OFDM) receiver against unknown frequency selective fading. A fast convergent Monte Carlo receiver is propose...
关键词：Frequency selective fading Orthogonal Frequency Division Multiplexing (OFDM) Markov Chain Monte Carlo (MCMC) methods Blind Bayesian detection BIMODALITY 
NOVEL QUANTUM-INSPIRED GENETIC ALGORITHM BASED ON IMMUNITY
《Journal of Electronics(China)》2005年第4期371-378,共8页LiYing ZhaoRongchun ZhangYanning JiaoLicheng 
Supported by the National Natural Science Foundation of China (No.60133010 and No.60141002).
A novel algorithm, the Immune Quantum-inspired Genetic Algorithm (IQGA), is proposed by introducing immune concepts and methods into Quantum-inspired Genetic Algorithm (QGA). With the condition of preserving QGA's adv...
关键词：Genetic Algorithm(GA) Quantum-inspired Genetic Algorithm(QGA) Immune operator Knapsack problem 
The Convergence of the Abstract Evolutionary Algorithm Based on a Special Selection Mechanism
《Chinese Quarterly Journal of Mathematics》2003年第2期213-220,共8页BIYong-qing XUEMing-zhi 
Supported by the National Science Foundation of China(60133010);Supported by the Science Foundation of Henan Province(2000110019)
There has been a growing interest in mathematical models to character the evolutionary algorithms. The best-known one of such models is the axiomatic model colled the abstract evolutionary algorithm. In this paper, we...
关键词：abstract evolutionary algorithm a transition matrix CONVERGENCE 
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