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» Parallelism and evolutionary algorithms
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AI
1998
Springer
15 years 10 months ago
A Hybrid Genetic Algorithm for the Vehicle Routing Problem with Time Windows
A variety of hybrid genetic algorithms has been recently proposed to address the vehicle routing problem with time windows (VRPTW), a problem known to be NP-hard. However, very few...
Jean Berger, Martin Salois, Regent Begin
185
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IEEEHPCS
2010
15 years 4 months ago
Discovering closed frequent itemsets on multicore: Parallelizing computations and optimizing memory accesses
The problem of closed frequent itemset discovery is a fundamental problem of data mining, having applications in numerous domains. It is thus very important to have efficient par...
Benjamin Négrevergne, Alexandre Termier, Je...
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
16 years 21 days ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen
169
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GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
16 years 9 days ago
Credit assignment in adaptive memetic algorithms
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
J. E. Smith
CIBCB
2005
IEEE
15 years 11 months ago
Feedback Memetic Algorithms for Modeling Gene Regulatory Networks
— In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of memetic algori...
Christian Spieth, Felix Streichert, Jochen Supper,...