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ECAL
2005
Springer
14 years 2 months ago
The Quantitative Law of Effect is a Robust Emergent Property of an Evolutionary Algorithm for Reinforcement Learning
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
J. J. McDowell, Zahra Ansari
GECCO
2005
Springer
14 years 2 months ago
Using gene deletion and gene duplication in evolution strategies
Self-adaptation of the mutation strengths is a powerful mechanism in evolution strategies (ES), but it can fail. As a consequence premature convergence or ending up in a local opt...
Karlheinz Schmitt
CEC
2008
IEEE
14 years 3 months ago
On the usefulness of infeasible solutions in evolutionary search: A theoretical study
— Evolutionary algorithms (EAs) have been widely used in optimization, where infeasible solutions are often encountered. Some EAs regard infeasible solutions as useless individua...
Yang Yu, Zhi-Hua Zhou
CCGRID
2004
IEEE
14 years 1 months ago
Evolutionary molecular structure determination using Grid-enabled data mining
A new computational framework is developed for the evolutionary determination of molecular crystal structures using the Shake-and-Bake methodology. Genetic algorithms are performe...
Mark L. Green, Russ Miller
CEC
2009
IEEE
14 years 4 months ago
Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms
— Genetic algorithms (GAs) have been argued to constitute a flexible search thereby enabling to solve difficult problems which classical optimization methodologies may find ha...
Jose M. Cabello, Jose M. Cejudo, Mariano Luque, Fr...