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» A hybrid approach to parameter tuning in genetic algorithms
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CSE
2009
IEEE
14 years 1 months ago
Tuning Evidence-Based Trust Models
Abstract—Many evidence-based trust models require the adjustment of parameters such as aging- or exploration-factors. What the literature often does not address is the systematic...
Eugen Staab, Thomas Engel
LION
2009
Springer
160views Optimization» more  LION 2009»
14 years 25 days ago
Corridor Selection and Fine Tuning for the Corridor Method
In this paper we present a novel hybrid algorithm, in which ideas from the genetic algorithm and the GRASP metaheuristic are cooperatively used and intertwined to dynamically adjus...
Marco Caserta, Stefan Voß
GECCO
2005
Springer
178views Optimization» more  GECCO 2005»
13 years 11 months ago
A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models
In this paper, the parameters of a genetic network for rice flowering time control have been estimated using a multiobjective genetic algorithm approach. We have modified the rece...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
JNW
2006
88views more  JNW 2006»
13 years 6 months ago
A Genetic Algorithms Based Approach for Group Multicast Routing
Whereas multicast transmission in one-to-many communications allows the operator to drastically save network resources, it also makes the routing of the traffic flows more complex ...
Luca Sanna Randaccio, Luigi Atzori
IFIP
2001
Springer
13 years 10 months ago
An Evolutionary Approach for Pareto-optimal Configurations in SOC Platforms
: One of the most important problems in SOC platforms design is that of defining strategies for tuning the parameters of a parameterized system so as to obtain the Pareto-optimal s...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi