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» Function Optimization with Coevolutionary Algorithms
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ASC
2004
15 years 1 months ago
Extracting rules from trained neural network using GA for managing E-business
Theabilitytointelligentlycollect,manageandanalyzeinformationaboutcustomersandsellersisakeysourceofcompetitive advantage for an e-business. This ability provides an opportunity to ...
Atta Ebrahim E. ElAlfi, R. Haque, M. Esmel ElAlami
CVPR
2012
IEEE
13 years 4 months ago
Submodular dictionary learning for sparse coding
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
Zhuolin Jiang, Guangxiao Zhang, Larry S. Davis
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
15 years 4 months ago
Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noisy BBOB-2010 testbed
Sequential selection, introduced for Evolution Strategies (ESs) with the aim of accelerating their convergence, consists in performing the evaluations of the different offspring...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
CEC
2009
IEEE
15 years 8 months ago
Differential Evolution with Laplace mutation operator
— Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ra...
Millie Pant, Radha Thangaraj, Ajith Abraham, Crina...
CC
2004
Springer
15 years 7 months ago
Using Multiple Memory Access Instructions for Reducing Code Size
An important issue in embedded systems design is the size of programs. As computing devices decrease in size, yet with more and more functions, better code size optimizations are i...
Neil Johnson, Alan Mycroft