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GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
14 years 2 months ago
Eye-tracking evolutionary algorithm to minimize user fatigue in IEC applied to interactive one-max problem
In this paper, we describe a new algorithm that consists in combining an eye-tracker for minimizing the fatigue of a user during the evaluation process of Interactive Evolutionary...
Denis Pallez, Philippe Collard, Thierry Baccino, L...
CEC
2010
IEEE
13 years 9 months ago
A mixed strategy for Evolutionary Programming based on local fitness landscape
The performance of Evolutionary Programming (EP) is affected by many factors (e.g. mutation operators and selection strategies). Although the conventional approach with Gaussian mu...
Liang Shen, Jun He
CEC
2005
IEEE
14 years 1 months ago
A simple hybrid evolutionary algorithm for finding Golomb rulers
Abstract- Finding Golomb rulers is an extremely challenging optimization problem (with many practical applications) that has been approached by a variety of search methods in recen...
Iván Dotú, Pascal Van Hentenryck
CEC
2007
IEEE
14 years 2 months ago
Self-adaptation of mutation distribution in evolutionary algorithms
— This paper proposes a self-adaptation method to control not only the mutation strength parameter, but also the mutation distribution for evolutionary algorithms. For this purpo...
Renato Tinós, Shengxiang Yang
HAIS
2009
Springer
14 years 15 days ago
Hybrid Evolutionary Algorithm for Solving Global Optimization Problems
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
Radha Thangaraj, Millie Pant, Ajith Abraham, Youak...