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» Morphing methods in evolutionary design optimization
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ICANNGA
2009
Springer
212views Algorithms» more  ICANNGA 2009»
14 years 5 months ago
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric L...
CEC
2007
IEEE
14 years 5 months ago
Graph design by graph grammar evolution
— Determining the optimal topology of a graph is pertinent to many domains, as graphs can be used to model a variety of systems. Evolutionary algorithms constitute a popular opti...
Martin H. Luerssen, David M. W. Powers
ML
2000
ACM
244views Machine Learning» more  ML 2000»
13 years 10 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
14 years 5 months ago
A destructive evolutionary process: a pilot implementation
This paper describes the application of evolutionary search to the problem of Flash memory wear-out. The operating parameters of Flash memory are notoriously difficult to determin...
Joe Sullivan, Conor Ryan
CEC
2010
IEEE
13 years 11 months ago
Parallel hybrid evolutionary algorithms on GPU
Abstract— Over the last years, interest in hybrid metaheuristics has risen considerably in the field of optimization. Combinations of methods such as evolutionary algorithms and...
Thé Van Luong, Nouredine Melab, El-Ghazali ...