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CEC
2009
IEEE
14 years 2 months ago
Hyper-learning for population-based incremental learning in dynamic environments
— The population-based incremental learning (PBIL) algorithm is a combination of evolutionary optimization and competitive learning. Recently, the PBIL algorithm has been applied...
Shengxiang Yang, Hendrik Richter
CEC
2007
IEEE
14 years 1 months ago
Combine and compare evolutionary robotics and reinforcement Learning as methods of designing autonomous robots
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
Sergiu Goschin, Eduard Franti, Monica Dascalu, San...
CEC
2003
IEEE
14 years 23 days ago
An evolutionary approach for reducing the switching activity in address buses
In this paper we present two new approaches based on genetic algorithms (GA) to reduce power consumption by communication buses in an embedded system. The first approach makes it ...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi,...
BMCBI
2006
159views more  BMCBI 2006»
13 years 7 months ago
MultiSeq: unifying sequence and structure data for evolutionary analysis
Background: Since the publication of the first draft of the human genome in 2000, bioinformatic data have been accumulating at an overwhelming pace. Currently, more than 3 million...
Elijah Roberts, John Eargle, Dan Wright, Zaida Lut...
CIIT
2004
102views Communications» more  CIIT 2004»
13 years 9 months ago
A swarm intelligence routing algorithm for MANETs
This paper presents a novel swarm intelligence inspired routing algorithm (EARA) for mobile ad hoc networks. Based on the understanding of the evolutionary cooperation in the biol...
Zhenyu Liu, Marta Z. Kwiatkowska, Costas C. Consta...