Genetic algorithm

Known as: Genethc algorithm, Genetic algorithms, GATTO 
In computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to… (More)
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Highly Cited
2007
Highly Cited
2007
Decomposition is a basic strategy in traditional multiobjective optimization. However, it has not yet been widely used in… (More)
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Highly Cited
2000
Highly Cited
2000
Multi-objectiveevolutionaryalgorithmswhichusenon-dominatedsorting andsharinghave beenmainly criticizedfor their (i) computational… (More)
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Highly Cited
2000
Highly Cited
2000
Pattern recognition generally requires that objects be described in terms of a set of measurable features. The selection and… (More)
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Highly Cited
1999
Highly Cited
1999
This paper introduces the compact genetic algorithm (cGA) which represents the population as a probability distribution over the… (More)
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Highly Cited
1998
Highly Cited
1998
A novel and robust automated docking method that predicts the bound conformations of flexible ligands to macromolecular targets… (More)
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Highly Cited
1998
Highly Cited
1998
No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means… (More)
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Highly Cited
1994
Highly Cited
1994
In trying to solve multiobjective optimization problems, many traditional methods scalarize the objective vector into a single… (More)
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Highly Cited
1991
Highly Cited
1991
In this paper, the effect of Genetic algorithm (GA) on the enhancement of the texture and quality of plants visual L. Davis, The… (More)
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Highly Cited
1991
Highly Cited
1991
Miihlenbein, H., M. Schomisch and J. Born, The parallel genetic algorithm as function optimizer, Parallel Computing 17 (1991) 619… (More)
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Highly Cited
1988
Highly Cited
1988
There is no a priori reason why machine learning must borrow from nature. A field could exist, complete with well-defined… (More)
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