GECCO
2009
Springer
13 years 2 months ago
2009
Springer
This paper introduces a multiagent optimization algorithm inspired by the collective behavior of social insects. In our method, each agent encodes a possible solution of the probl...
CORR
2004
Springer
13 years 4 months ago
2004
Springer
This paper explores the use of genetic algorithms for the design of networks, where the demands on the network fluctuate in time. For varying network constraints, we find the best...
AAAI
1998
13 years 5 months ago
1998
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
IWANN
2001
Springer
13 years 8 months ago
2001
Springer
This paper looks upon the standard genetic algorithm as an artificial self-organizing process. With the purpose to provide concepts that make the algorithm more open for scalabili...
GECCO
2004
Springer
13 years 9 months ago
2004
Springer
Estimation of distribution algorithms (EDA) are similar to genetic algorithms except that they replace crossover and mutation with sampling from an estimated probability distributi...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
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...
ICML
1995
IEEE
14 years 5 months ago
1995
IEEE