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» On the practical genetic algorithms
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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
14 years 2 months ago
Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem
Augmenting an evolutionary algorithm with knowledge of its target problem can yield a more effective algorithm, as this presentation illustrates. The Quadratic Knapsack Problem e...
Bryant A. Julstrom
SLS
2009
Springer
235views Algorithms» more  SLS 2009»
14 years 3 months ago
EasyGenetic: A Template Metaprogramming Framework for Genetic Master-Slave Algorithms
Stefano Benedettini, Andrea Roli, Luca Di Gaspero
CODES
2000
IEEE
14 years 27 days ago
Automatic test bench generation for simulation-based validation
In current design practice synthesis tools play a key role, letting designers to concentrate on the specificationof the system being designed by carrying out repetitive tasks such...
Marcello Lajolo, Luciano Lavagno, Maurizio Rebaude...
ISPEC
2010
Springer
14 years 1 months ago
On Fast and Approximate Attack Tree Computations
Abstract. In this paper we address the problem of inefficiency of exact attack tree computations. We propose several implementation-level optimizations and introduce a genetic algo...
Aivo Jürgenson, Jan Willemson
GECCO
1999
Springer
14 years 22 days ago
Use of Preferences for GA-based Multi-objective Optimisation
In this paper we present a method based on preference relations for transforming non–crisp (qualitative) relationships between objectives in multi–objective optimisation into ...
Dragan Cvetkovic, Ian C. Parmee