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» Adapting binary fitness functions in Genetic Algorithms
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AI
2006
Springer
14 years 9 months ago
Backward-chaining evolutionary algorithms
Starting from some simple observations on a popular selection method in Evolutionary Algorithms (EAs)--tournament selection--we highlight a previously-unknown source of inefficien...
Riccardo Poli, William B. Langdon
PPSN
2010
Springer
14 years 7 months ago
Environment-Driven Embodied Evolution in a Population of Autonomous Agents
This paper is concerned with a fixed-size population of autonomous agents facing unknown, possibly changing, environments. The motivation is to design an embodied evolutionary algo...
Nicolas Bredeche, Jean-Marc Montanier
CEC
2010
IEEE
14 years 10 months ago
A mixed strategy for Evolutionary Programming based on local fitness landscape
The performance of Evolutionary Programming (EP) is affected by many factors (e.g. mutation operators and selection strategies). Although the conventional approach with Gaussian mu...
Liang Shen, Jun He
88
Voted
GECCO
2008
Springer
250views Optimization» more  GECCO 2008»
14 years 10 months ago
Community detection in social networks with genetic algorithms
A new genetic algorithm to detect communities in social networks is presented. The algorithm uses a fitness function able to identify groups of nodes in the network having dense ...
Clara Pizzuti
63
Voted
CEC
2008
IEEE
15 years 4 months ago
A Fast Bacterial Swarming Algorithm for high-dimensional function optimization
—A novel Fast Bacterial Swarming Algorithm (FBSA) for high-dimensional function optimization is presented in this paper. The proposed algorithm combines the foraging mechanism of...
Ying Chu, Hua Mi, Huilian Liao, Zhen Ji, Q. H. Wu