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GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
15 years 5 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
2009
Springer
131views Optimization» more  GECCO 2009»
15 years 5 months ago
Evolution of robust data distribution among digital organisms
This paper describes a study of the evolution of robust communication, specifically the distribution of data among individuals in a population, using digital evolution. In digita...
David B. Knoester, Andres J. Ramirez, Philip K. Mc...
MATES
2009
Springer
15 years 5 months ago
Concurrently Decomposable Constraint Systems
In constraint satisfaction, decomposition is a common technique to split a problem in a number of parts in such a way that the global solution can be efficiently assembled from th...
Cees Witteveen, Wiebe van der Hoek, Nico Roos
PETRA
2009
ACM
15 years 5 months ago
Automatic sensor placement in a 3D volume
Given a 3D environment, a set of constraints, and a set of sensor models, this paper addresses the problem of finding the set of sensors and their corresponding placement that cov...
Eric Becker, Gutemberg Guerra-Filho, Fillia Makedo...
CEC
2008
IEEE
15 years 5 months ago
High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis
— The high-level synthesis process involves three interdependent and NP-complete optimization problems: (i) the operation scheduling, (ii) the resource allocation, and (iii) the ...
Christian Pilato, Daniele Loiacono, Fabrizio Ferra...