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» Genetically designed heuristics for the bin packing problem
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GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
15 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
2005
Springer
115views Optimization» more  GECCO 2005»
15 years 3 months ago
Search-based improvement of subsystem decompositions
The subsystem decomposition of a software system degrades gradually during its lifetime and therefore it gets harder and harder to maintain. As a result this decomposition needs t...
Olaf Seng, Markus Bauer, Matthias Biehl, Gert Pach...
GECCO
2005
Springer
15 years 3 months ago
On the practical genetic algorithms
This paper offers practical design-guidelines for developing efficient genetic algorithms (GAs) to successfully solve realworld problems. As an important design component, a prac...
Chang Wook Ahn, Sanghoun Oh, Rudrapatna S. Ramakri...
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GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
15 years 2 months ago
Using a Genetic Algorithm to Design and Improve Storage Area Network Architectures
Abstract. Designing storage area networks is an NP-hard problem. Previous work has focused on traditional algorithmic techniques to automatically determine fabric requirements, net...
Elizabeth Dicke, Andrew Byde, Paul J. Layzell, Dav...
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 3 months ago
Screening the parameters affecting heuristic performance
This research screens the tuning parameters of a combinatorial optimization heuristic. Specifically, it presents a Design of Experiments (DOE) approach that uses a Fractional Fac...
Enda Ridge, Daniel Kudenko