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» Adapting binary fitness functions in Genetic Algorithms
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76
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GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
14 years 10 months ago
Threshold selecting: best possible probability distribution for crossover selection in genetic algorithms
The paper considers the problem of selecting individuals in the current population in Genetic Algorithms for crossover to find a solution of high fitness of a given combinatoria...
Jörg Lässig, Karl Heinz Hoffmann, Mihael...
69
Voted
GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
15 years 1 months ago
gLINC: identifying composability using group perturbation
We present two novel perturbation-based linkage learning algorithms that extend LINC [5]; a version of LINC optimised for decomposition tasks (oLINC) and a hierarchical version of...
David Jonathan Coffin, Christopher D. Clack
CORR
2008
Springer
90views Education» more  CORR 2008»
14 years 9 months ago
An Indirect Genetic Algorithm for Set Covering Problems
This paper presents a new type of genetic algorithm for the set covering problem. It differs from previous evolutionary approaches first because it is an indirect algorithm, i.e. ...
Uwe Aickelin
AHS
2006
IEEE
164views Hardware» more  AHS 2006»
15 years 3 months ago
Automatic Hybrid Genetic Algorithm Based Printed Circuit Board Inspection
The paper presents a novel integrated system in which a number of image processing algorithm are embedded within a Genetic Algorithm (GA) based framework in order to provide an ad...
Syamsiah Mashohor, Jonathan R. Evans, Ahmet T. Erd...
CORR
2010
Springer
152views Education» more  CORR 2010»
14 years 7 months ago
Evolutionary Approach to Test Generation for Functional BIST
In the paper, an evolutionary approach to test generation for functional BIST is considered. The aim of the proposed scheme is to minimize the test data volume by allowing the dev...
Y. A. Skobtsov, D. E. Ivanov, V. Y. Skobtsov, Raim...