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EMO
2001
Springer
109views Optimization» more  EMO 2001»
14 years 2 months ago
Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms
When we try to implement a multi-objective genetic algorithm (MOGA) with variable weights for finding a set of Pareto optimal solutions, one difficulty lies in determining appropri...
Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen
CPHYSICS
2006
127views more  CPHYSICS 2006»
13 years 10 months ago
GenAnneal: Genetically modified Simulated Annealing
A modification of the standard Simulated Annealing (SA) algorithm is presented for finding the global minimum of a continuous multidimensional, multimodal function. We report resu...
Ioannis G. Tsoulos, Isaac E. Lagaris
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
14 years 3 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 4 months ago
EasyGenetic: A Template Metaprogramming Framework for Genetic Master-Slave Algorithms
Stefano Benedettini, Andrea Roli, Luca Di Gaspero
CEC
2005
IEEE
14 years 4 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...