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GECCO
2010
Springer
197views Optimization» more  GECCO 2010»
13 years 11 months ago
Niching the CMA-ES via nearest-better clustering
We investigate how a niching based evolutionary algorithm fares on the BBOB function test set, knowing that most problems are not very well suited to this algorithm class. However...
Mike Preuss
GECCO
2003
Springer
148views Optimization» more  GECCO 2003»
14 years 1 months ago
A Hybrid Immune Algorithm with Information Gain for the Graph Coloring Problem
We present a new Immune Algorithm that incorporates a simple local search procedure to improve the overall performances to tackle the graph coloring problem instances. We character...
Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone
COR
2008
107views more  COR 2008»
13 years 8 months ago
Evolutionary functional testing
Evolutionary Testing is a promising approach for automating the testing of software-based systems. A number of papers have been published in the last years which have successfully...
Oliver Bühler, Joachim Wegener
HIS
2008
13 years 9 months ago
New Crossover Operator for Evolutionary Rule Discovery in XCS
XCS is a learning classifier system that combines a reinforcement learning scheme with evolutionary algorithms to evolve rule sets on-line by means of the interaction with an envi...
Sergio Morales-Ortigosa, Albert Orriols-Puig, Este...
CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 8 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná