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EMO
2001
Springer
109views Optimization» more  EMO 2001»
15 years 9 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
146
Voted
CPHYSICS
2006
127views more  CPHYSICS 2006»
15 years 4 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»
15 years 10 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»
15 years 11 months ago
EasyGenetic: A Template Metaprogramming Framework for Genetic Master-Slave Algorithms
Stefano Benedettini, Andrea Roli, Luca Di Gaspero
110
Voted
CEC
2005
IEEE
15 years 10 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...