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103
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EMO
2003
Springer
81views Optimization» more  EMO 2003»
15 years 7 months ago
Solving Hierarchical Optimization Problems Using MOEAs
Abstract. In this paper, we propose an approach for solving hierarchical multi-objective optimization problems (MOPs). In realistic MOPs, two main challenges have to be considered:...
Christian Haubelt, Sanaz Mostaghim, Jürgen Te...
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
15 years 8 months ago
Improving GA search reliability using maximal hyper-rectangle analysis
In Genetic algorithms it is not easy to evaluate the confidence level in whether a GA run may have missed a complete area of good points, and whether the global optimum was found....
Chongshan Zhang, Khaled Rasheed
99
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GECCO
2008
Springer
112views Optimization» more  GECCO 2008»
15 years 3 months ago
Parameter-less evolutionary search
The paper presents the parameter-less implementation of an evolutionary-based search. It does not need any predefined control parameters values, which are usually used for geneti...
Gregor Papa
ICIAR
2010
Springer
15 years 7 months ago
Structural Similarity-Based Approximation of Signals and Images Using Orthogonal Bases
The structural similarity (SSIM) index has been shown to be an useful tool in a wide variety of applications that involve the assessment of image quality and similarity. However, i...
Dominique Brunet, Edward R. Vrscay, Zhou Wang
102
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EUROGP
2009
Springer
119views Optimization» more  EUROGP 2009»
15 years 9 months ago
Comparison of CGP and Age-Layered CGP Performance in Image Operator Evolution
This paper analyses the efficiency of the Cartesian Genetic Programming (CGP) methodology in the image operator design problem at the functional level. The CGP algorithm is compare...
Karel Slaný