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CEC
2009
IEEE
16 years 27 days 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...
FUZZIEEE
2007
IEEE
16 years 14 days ago
Survey of Rough and Fuzzy Hybridization
— This paper provides a broad overview of logical and black box approaches to fuzzy and rough hybridization. The logical approaches include theoretical, supervised learning, feat...
Pawan Lingras, Richard Jensen
205
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EUROGP
2007
Springer
175views Optimization» more  EUROGP 2007»
16 years 9 days ago
Fast Genetic Programming on GPUs
As is typical in evolutionary algorithms, fitness evaluation in GP takes the majority of the computational effort. In this paper we demonstrate the use of the Graphics Processing...
Simon Harding, Wolfgang Banzhaf
CEC
2005
IEEE
15 years 11 months ago
Evolving improved incremental learning schemes for neural network systems
It is well known that incremental learning can often be difficult for traditional neural network systems, due to newly learned information interfering with previously learned infor...
Tebogo Seipone, John A. Bullinaria
GECCO
2004
Springer
15 years 11 months ago
Upper Bounds on the Time and Space Complexity of Optimizing Additively Separable Functions
Abstract. We present upper bounds on the time and space complexity of finding the global optimum of additively separable functions, a class of functions that has been studied exten...
Matthew J. Streeter