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GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
13 years 11 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
151views Optimization» more  GECCO 2007»
13 years 10 months ago
Solving real-valued optimisation problems using cartesian genetic programming
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
James Alfred Walker, Julian Francis Miller
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
13 years 2 months ago
Bumblebees: a multiagent combinatorial optimization algorithm inspired by social insect behaviour
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...
Francesc Comellas, Jesus Martinez-Navarro
ATAL
2008
Springer
13 years 6 months ago
Tags and image scoring for robust cooperation
Establishing and maintaining cooperation is an enduring problem in multi-agent systems and, although several solutions exist, the increased use of online trading systems, peerto-p...
Nathan Griffiths
FOGA
1998
13 years 5 months ago
Understanding Interactions among Genetic Algorithm Parameters
Genetic algorithms (GAs) are multi-dimensional and stochastic search methods, involving complex interactions among their parameters. For last two decades, researchers have been tr...
Kalyanmoy Deb, Samir Agrawal