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GECCO
2004
Springer
15 years 3 months ago
Towards a Generally Applicable Self-Adapting Hybridization of Evolutionary Algorithms
When applied to real-world problems, the powerful optimization tool of Evolutionary Algorithms frequently turns out to be too time-consuming due to elaborate fitness calculations t...
Wilfried Jakob, Christian Blume, Georg Bretthauer
CEC
2007
IEEE
15 years 1 months ago
A hybrid evolutionary approach to the university course timetabling problem
Combinations of evolutionary based approaches with local search have provided very good results for a variety of scheduling problems. This paper describes the development of such a...
Salwani Abdullah, Edmund K. Burke, Barry McCollum
CEC
2009
IEEE
15 years 1 months ago
A conflict based SAW method for Constraint Satisfaction Problems
Evolutionary algorithms have employed the SAW (Stepwise Adaptation of Weights) method in order to solve CSPs (Constraint Satisfaction Problems). This method originated in hill-clim...
Rafi Shalom, Mireille Avigal, Ron Unger
ICTAI
2009
IEEE
14 years 7 months ago
Constraint-Based Evolutionary QoS Adaptation for Power Utility Communication Networks
This paper studies an evolutionary multiobjective optimization algorithm, called EVOLT, which heuristically optimizes QoS (quality of service) in communication networks for electr...
Paskorn Champrasert, Junichi Suzuki, Tetsuo Otani
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
14 years 11 months ago
Application domain study of evolutionary algorithms in optimization problems
This paper deals with the problem of comparing and testing evolutionary algorithms, that is, the benchmarking problem, from an analysis point of view. A practical study of the app...
Pilar Caamaño, Francisco Bellas, José...