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» Self Adaptation of Operator Rates in Evolutionary Algorithms
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DEXAW
2004
IEEE
123views Database» more  DEXAW 2004»
13 years 11 months ago
Self-Adaptive and Self-Optimising Resource Monitoring for Dynamic Grid Environments
As the number of resources on the Grid tends to be very dynamic and potentially large, it becomes increasingly important to discover and monitor them efficiently. This paper conce...
Helene N. Lim Choi Keung, Justin R. D. Dyson, Step...
PPSN
2004
Springer
14 years 21 days ago
Dominance Based Crossover Operator for Evolutionary Multi-objective Algorithms
In spite of the recent quick growth of the Evolutionary Multi-objective Optimization (EMO) research field, there has been few trials to adapt the general variation operators to t...
Olga Rudenko, Marc Schoenauer
GECCO
2009
Springer
126views Optimization» more  GECCO 2009»
13 years 12 months ago
Improving NSGA-II with an adaptive mutation operator
The performance of a Multiobjective Evolutionary Algorithm (MOEA) is crucially dependent on the parameter setting of the operators. The most desired control of such parameters pre...
Arthur Gonçalves Carvalho, Aluizio F. R. Ar...
CEC
2009
IEEE
14 years 2 months ago
Dynamic optimization using Self-Adaptive Differential Evolution
Abstract— In this paper we investigate a Self-Adaptive Differential Evolution algorithm (jDE) where F and CR control parameters are self-adapted and a multi-population method wit...
Janez Brest, Ales Zamuda, Borko Boskovic, Mirjam S...
GECCO
2006
Springer
129views Optimization» more  GECCO 2006»
13 years 11 months ago
Use of statistical outlier detection method in adaptive evolutionary algorithms
In this paper, the issue of adapting probabilities for Evolutionary Algorithm (EA) search operators is revisited. A framework is devised for distinguishing between measurements of...
James M. Whitacre, Q. Tuan Pham, Ruhul A. Sarker