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GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
15 years 10 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 10 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 10 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 10 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 10 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...