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GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
16 years 29 days ago
ICSPEA: evolutionary five-axis milling path optimisation
ICSPEA is a novel multi-objective evolutionary algorithm which integrates aspects from the powerful variation operators of the Covariance Matrix Adaptation Evolution Strategy (CMA...
Jörn Mehnen, Rajkumar Roy, Petra Kersting, To...
CEC
2005
IEEE
16 years 13 days ago
Parallel evolutionary algorithms on graphics processing unit
Evolutionary Algorithms (EAs) are effective and robust methods for solving many practical problems such as feature selection, electrical circuits synthesis, and data mining. Howeve...
Man Leung Wong, Tien-Tsin Wong, Ka-Ling Fok
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
16 years 9 days ago
Incorporating fuzzy knowledge into fitness: multiobjective evolutionary 3D design of process plants
Designing technical plants is a complex and demanding process. It has been shown that the optimization of the simple facility placement problem is already NP-hard. Optimization of...
Ingo Mierswa
EVOW
2003
Springer
16 years 13 hour ago
GAME-HDL: Implementation of Evolutionary Algorithms Using Hardware Description Languages
Evolutionary Algorithms (EAs) have been proposed as a very powerful heuristic optimization technique to solve complex problems. Many case studies have shown that they work very eff...
Rolf Drechsler, Nicole Drechsler
CCGRID
2007
IEEE
15 years 10 months ago
A Hybrid Linear Programming and Evolutionary Algorithm based Approach for On-line Resource Matching in Grid Environments
We describe a hybrid linear programming (LP) and evolutionary algorithm (EA) based resource matcher suitable for heterogeneous grid environments. The hybrid matcher adopts the ite...
Pawel Garbacki, Vijay K. Naik