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GECCO
2004
Springer
143views Optimization» more  GECCO 2004»
14 years 2 months ago
Efficient Clustering-Based Genetic Algorithms in Chemical Kinetic Modelling
Two efficient clustering-based genetic algorithms are developed for the optimisation of reaction rate parameters in chemical kinetic modelling. The genetic algorithms employed are ...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
CVPR
2006
IEEE
14 years 11 months ago
Element-Free Elastic Models for Volume Fitting and Capture
We present a new method of fitting an element-free volumetric model to a sequence of deforming surfaces of a moving object. Given a sequence of visual hulls, we iteratively fit an...
Jaeil Choi, Andrzej Szymczak, Greg Turk, Irfan A. ...
EVOW
2009
Springer
13 years 6 months ago
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
Abstract. Evolutionary algorithms such as genetic programming and grammatical evolution have been used for simultaneously optimizing network architecture, variable selection, and w...
Stephen D. Turner, Marylyn D. Ritchie, William S. ...
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
14 years 3 months ago
Objective fitness correlation
This paper introduces the Objective Fitness Correlation, a new tool to analyze the evaluation accuracy of coevolutionary algorithms. Accurate evaluation is an essential ingredient...
Edwin D. de Jong
CEC
2010
IEEE
13 years 10 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