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IDEAL
2003
Springer
15 years 8 months ago
Agent Compromises in Distributed Problem Solving
ERA is a multi-agent oriented method for solving constraint satisfaction problems [5]. In this method, agents make decisions based on the information obtained from their environmen...
Yi Tang, Jiming Liu, Xiaolong Jin
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
15 years 3 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
IWANN
2001
Springer
15 years 7 months ago
Solving NP-Complete Problems With Networks of Evolutionary Processors
We propose a computational device based on evolutionary rules and communication within a network, similar to that introduced in [4], called network of evolutionary processors. An ...
Juan Castellanos, Carlos Martín-Vide, Victo...
GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
15 years 9 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
155views Optimization» more  GECCO 2007»
15 years 9 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...