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GECCO
2004
Springer
104views Optimization» more  GECCO 2004»
15 years 6 months ago
Simultaneity Matrix for Solving Hierarchically Decomposable Functions
The simultaneity matrix is an × matrix of numbers. It is constructed according to a set of -bit solutions. The matrix element mij is the degree of linkage between bit positions i ...
Chatchawit Aporntewan, Prabhas Chongstitvatana
GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
14 years 11 months ago
Black-box optimization benchmarking the IPOP-CMA-ES on the noiseless testbed: comparison to the BIPOP-CMA-ES
We benchmark the Covariance Matrix Adaptation-Evolution Strategy (CMA-ES) algorithm with an Increasing POPulation size (IPOP) restart policy on the BBOB noiseless testbed. The IPO...
Raymond Ros
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 6 months ago
Alternative implementations of the Griewangk function
The well-known Griewangk function, used for evaluation of evolutionary algorithms, becomes easier as the number of dimensions grows. This paper suggests three alternative implemen...
Artem Sokolov, L. Darrell Whitley, Monte Lunacek
113
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PPSN
2004
Springer
15 years 6 months ago
Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models
Abstract. The paper describes an evolutionary algorithm for the general nonlinear programming problem using a surrogate model. Surrogate models are used in optimization when model ...
Thomas Philip Runarsson
ICONIP
2008
15 years 2 months ago
Neural Network Regression for LHF Process Optimization
We present a system for regression using MLP neural networks with hyperbolic tangent functions in the input, hidden and output layer. The activation functions in the input and outp...
Miroslaw Kordos