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» Function Optimization with Coevolutionary Algorithms
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124
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IEEECIT
2009
IEEE
15 years 8 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
122
Voted
GECCO
2007
Springer
481views Optimization» more  GECCO 2007»
15 years 7 months ago
A hybrid PSO/ACO algorithm for classification
In a previous work we have proposed a hybrid Particle Swarm Optimisation/Ant Colony Optimisation (PSO/ACO) algorithm for the discovery of classification rules, in the context of d...
Nicholas Holden, Alex Alves Freitas
117
Voted
GECCO
2009
Springer
167views Optimization» more  GECCO 2009»
15 years 8 months ago
Fixed-parameter evolutionary algorithms and the vertex cover problem
In this paper, we consider multi-objective evolutionary algorithms for the Vertex Cover problem in the context of parameterized complexity. We relate the runtime of our algorithms...
Stefan Kratsch, Frank Neumann
IWINAC
2005
Springer
15 years 7 months ago
The Allele Meta-model - Developing a Common Language for Genetic Algorithms
Abstract. Due to the lot of different Genetic Algorithm variants, encodings, and attacked problems, very little general theory is available to explain the internal functioning of ...
Stefan Wagner 0002, Michael Affenzeller
GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
15 years 7 months ago
A Comment on Opt-AiNET: An Immune Network Algorithm for Optimisation
Verifying the published results of algorithms is part of the usual research process. This helps to both validate the existing literature, but also quite often allows for new insigh...
Jon Timmis, Camilla Edmonds