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» A New Crossover Operator for Genetic Algorithms
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EVOW
2004
Springer
14 years 27 days ago
A Comparison of Adaptive Operator Scheduling Methods on the Traveling Salesman Problem
Abstract. The implementation of an evolutionary algorithm necessarily involves the selection of an appropriate set of genetic operators. For many real-world problem domains, an inc...
Wouter Boomsma
ICC
2007
IEEE
110views Communications» more  ICC 2007»
14 years 1 months ago
Joint Source and Channel Coding for Image Transmission over Time Varying Channels
—In this paper, the joint source and channel coding for progressive image transmission over channels with varying SNR is considered. Since the feedback of channel status informat...
Lei Cao
JCIT
2008
129views more  JCIT 2008»
13 years 7 months ago
An Enhanced tree based MAODV Protocol for MANETs using Genetic Algorithm
Multicast routing protocols in Mobile Ad-hoc Networks (MANETs) are emerging for wireless group communication which includes application such as multipoint data dissemination and m...
E. Baburaj, V. Vasudevan
RECOMB
2003
Springer
14 years 7 months ago
Optimizing exact genetic linkage computations
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
Dan Geiger, Maáyan Fishelson
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
13 years 11 months ago
Adaptive evolution: an efficient heuristic for global optimization
This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because i...
Francisco Viveros Jiménez, Efrén Mez...