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GECCO
2008
Springer
160views Optimization» more  GECCO 2008»
13 years 11 months ago
An estimation distribution algorithm with the spearman's rank correlation index
This article arguments that rank correlation coefficients are powerful association measures and how can they be adopted by EDAs. A new EDA implements the proposed ideas: the Non-P...
Arturo Hernández Aguirre, Enrique Raú...
GECCO
2003
Springer
124views Optimization» more  GECCO 2003»
14 years 3 months ago
Using an Immune System Model to Explore Mate Selection in Genetic Algorithms
Abstract. When Genetic Algorithms (GAs) are employed in multimodal function optimization, engineering and machine learning, identifying multiple peaks and maintaining subpopulation...
Chien-Feng Huang
GECCO
2006
Springer
174views Optimization» more  GECCO 2006»
14 years 2 months ago
Optimizing of NC tool paths for five-axis milling using evolutionary algorithms on wavelets
Computer aided NC-path generation of five-axis milling using a standard CAM-system does usually not take machine dynamics and kinematics into account. This results in machine move...
Klaus Weinert, Andreas Zabel, Heinrich Müller...
MICAI
2004
Springer
14 years 3 months ago
An Optimization Algorithm Based on Active and Instance-Based Learning
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
Olac Fuentes, Thamar Solorio
CORR
2008
Springer
76views Education» more  CORR 2008»
13 years 10 months ago
An Efficient Algorithm for a Sharp Approximation of Universally Quantified Inequalities
This paper introduces a new algorithm for solving a subclass of quantified constraint satisfaction problems (QCSP) where existential quantifiers precede universally quantified ine...
Alexandre Goldsztejn, Claude Michel, Michel Rueher