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» A Grid-Oriented Genetic Algorithm
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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
14 years 1 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 2 months ago
EasyGenetic: A Template Metaprogramming Framework for Genetic Master-Slave Algorithms
Stefano Benedettini, Andrea Roli, Luca Di Gaspero
CORR
2011
Springer
189views Education» more  CORR 2011»
13 years 2 months ago
A Factorial Experiment on Scalability of Search Based Software Testing
Software testing is an expensive process, which is vital in the industry. Construction of the test-data in software testing requires the major cost and to decide which method to us...
Arash Mehrmand, Robert Feldt
CEC
2005
IEEE
14 years 1 months ago
Statistical optimisation and tuning of GA factors
This paper presents a practical methodology of improving the efficiency of Genetic Algorithms through tuning the factors significantly affecting GA performance. This methodology is...
Andrei Petrovski, Alexander E. I. Brownlee, John A...
GECCO
1999
Springer
13 years 11 months 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