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» A hybrid approach to parameter tuning in genetic algorithms
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CORR
2008
Springer
90views Education» more  CORR 2008»
13 years 7 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
CEC
2007
IEEE
13 years 9 months ago
Hybrid optimization using DIRECT, GA, and SQP for global exploration
— As there are many good optimization algorithms each with its own characteristics, it is very difficult to choose the best method for optimization problems. Thus, it is importa...
Satoru Hiwa, Tomoyuki Hiroyasu, Mitsunori Miki
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
14 years 7 days ago
Using performance fronts for parameter setting of stochastic metaheuristics
In this work, we explore the idea that parameter setting of stochastic metaheuristics should be considered as a multiobjective problem. The so-called “performance fronts” pres...
Johann Dréo
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
13 years 11 months ago
Characterizing large text corpora using a maximum variation sampling genetic algorithm
An enormous amount of information available via the Internet exists. Much of this data is in the form of text-based documents. These documents cover a variety of topics that are v...
Robert M. Patton, Thomas E. Potok
VTC
2007
IEEE
129views Communications» more  VTC 2007»
14 years 1 months ago
Hybrid Model of Least Squares Handover Algorithms in Wireless Networks
Abstract— An adaptive handover algorithm for wireless comn systems is addressed in this extended abstract. Moving from the Generalized Extended Least Square handover algorithm in...
Claudia Rinaldi, Fortunato Santucci, Carlo Fischio...