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IDEAL
2003
Springer
14 years 3 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»
13 years 10 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
14 years 2 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»
14 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
155views Optimization» more  GECCO 2007»
14 years 3 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...