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» On the practical genetic algorithms
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GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
13 years 9 months ago
Coordinate change operators for genetic algorithms
This paper studies the issue of space coordinate change in genetic algorithms, based on two methods: convex quadratic approximations, and principal component analysis. In both met...
Elizabeth F. Wanner, Eduardo G. Carrano, Ricardo H...
CORR
2004
Springer
81views Education» more  CORR 2004»
13 years 8 months ago
Optimizing genetic algorithm strategies for evolving networks
This paper explores the use of genetic algorithms for the design of networks, where the demands on the network fluctuate in time. For varying network constraints, we find the best...
Matthew J. Berryman, Andrew Allison, Derek Abbott
ILP
2000
Springer
14 years 1 days ago
Searching the Subsumption Lattice by a Genetic Algorithm
A framework for combining Genetic Algorithms with ILP methods is introduced and a novel binary representation and relevant genetic operators are discussed. It is shown that the pro...
Alireza Tamaddoni-Nezhad, Stephen Muggleton
IPPS
1998
IEEE
14 years 21 days ago
A Parallel Evolutionary Algorithm for the Vehicle Routing Problem with Heterogeneous Fleet
Abstract. Nowadays genetic algorithms stand as a trend to solve NPcomplete and NP-hard problems. In this paper, we present a new hybrid metaheuristic which uses Parallel Genetic Al...
Luiz Satoru Ochi, Dalessandro Soares Vianna, L&uac...
FOGA
1994
13 years 9 months ago
Predictive Models Using Fitness Distributions of Genetic Operators
An important goal of the theory of genetic algorithms is to build predictive models of how well genetic algorithms are expected to perform, given a representation, a fitness lands...
John J. Grefenstette