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GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
15 years 3 months ago
Advanced models of cellular genetic algorithms evaluated on SAT
Cellular genetic algorithms (cGAs) are mainly characterized by their spatially decentralized population, in which individuals can only interact with their neighbors. In this work,...
Enrique Alba, Hugo Alfonso, Bernabé Dorrons...
GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
15 years 4 months ago
Cheating for problem solving: a genetic algorithm with social interactions
We propose a variation of the standard genetic algorithm that incorporates social interaction between the individuals in the population. Our goal is to understand the evolutionary...
Rafael Lahoz-Beltra, Gabriela Ochoa, Uwe Aickelin
GECCO
2007
Springer
345views Optimization» more  GECCO 2007»
15 years 3 months ago
A novel approach to automatic music transcription using electronic synthesis and genetic algorithms
This paper presents a novel approach to the problem of automatic music transcription using electronic synthesis with genetic algorithms. Although the problem is well known and di...
Gustavo Reis, Francisco Fernández de Vega
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 1 months ago
Identification of weak motifs in multiple biological sequences using genetic algorithm
Recognition of motifs in multiple unaligned sequences provides an insight into protein structure and function. The task of discovering these motifs is very challenging because mos...
Topon Kumar Paul, Hitoshi Iba
ICAC
2009
IEEE
15 years 4 months ago
Applying genetic algorithms to decision making in autonomic computing systems
Increasingly, applications need to be able to self-reconfigure in response to changing requirements and environmental conditions. Autonomic computing has been proposed as a means...
Andres J. Ramirez, David B. Knoester, Betty H. C. ...