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» Hybrid Genetic Algorithms: A Review
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GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
15 years 5 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
ICNC
2009
Springer
15 years 5 months ago
Vehicle Routing Problem with Time Windows: A Hybrid Particle Swarm Optimization Approach
Vehicle routing problem (VRP) is a well-known combinatorial optimization and nonlinear programming problem seeking to service a number of customers with a fleet of vehicles. This ...
Xiaoxiang Liu, Weigang Jiang, Jianwen Xie
ICANNGA
2007
Springer
100views Algorithms» more  ICANNGA 2007»
15 years 6 months ago
Genetic-Greedy Hybrid Approach for Topological Active Nets Optimization
In this paper we propose a genetic and greedy algorithm combination for the optimization of the Topological Active Nets (TAN) model. This is a deformable model used for image segme...
José Santos, Óscar Ibáñ...
112
Voted
HIS
2008
15 years 1 months ago
Towards a Highly Scalable Hybrid Metaheuristic for Haplotype Inference Under Parsimony
Haplotype Inference is a challenging problem in bioinformatics that consists in inferring the basic genetic constitution of diploid organisms on the basis of their genotype. This ...
Stefano Benedettini, Luca Di Gaspero, Andrea Roli
84
Voted
ENGL
2007
121views more  ENGL 2007»
15 years 12 days ago
A Comparison between Genetic Algorithms and Evolutionary Programming based on Cutting Stock Problem
—Genetic Algorithms (GA) and Evolutionary Programming (EP) are two well-known optimization methods that belong to the class of Evolutionary Algorithms (EA). Both methods have gen...
Raymond Chiong, Ooi Koon Beng