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» Data Mining for Genetics: A Genetic Algorithm Approach
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GECCO
2007
Springer
124views Optimization» more  GECCO 2007»
14 years 1 months ago
Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms
The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been teste...
Riccardo Poli, Leonardo Vanneschi
IPPS
2005
IEEE
14 years 2 months ago
A Cellular Multi-Objective Genetic Algorithm for Optimal Broadcasting Strategy in Metropolitan MANETs
Mobile Ad-hoc Networks (MANETs) are composed of a set of communicating devices which are able to spontaneously interconnect without any pre-existing infrastructure. In such scenar...
Enrique Alba, Bernabé Dorronsoro, Francisco...
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
14 years 2 months ago
A multi-objective genetic algorithm for robust design optimization
Real-world multi-objective engineering design optimization problems often have parameters with uncontrollable variations. The aim of solving such problems is to obtain solutions t...
Mian Li, Shapour Azarm, Vikrant Aute
EUROCAST
2003
Springer
105views Hardware» more  EUROCAST 2003»
14 years 2 months ago
A Self-adaptive Model for Selective Pressure Handling within the Theory of Genetic Algorithms
In this paper we introduce a new generic selection method for Genetic Algorithms. The main difference of this selection principle in contrast to conventional selection models is g...
Michael Affenzeller, Stefan Wagner 0002
GECCO
2003
Springer
129views Optimization» more  GECCO 2003»
14 years 2 months ago
An Optimization Solution for Packet Scheduling: A Pipeline-Based Genetic Algorithm Accelerator
Abstract. The dense wavelength division multiplexing (DWDM) technique has been developed to provide a tremendous number of wavelengths/channels in an optical fiber. In the multi-c...
Shiann-Tsong Sheu, Yue-Ru Chuang, Yu-Hung Chen, Eu...