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CEC
2005
IEEE
14 years 5 months ago
XCS with computed prediction for the learning of Boolean functions
Computed prediction represents a major shift in learning classifier system research. XCS with computed prediction, based on linear approximators, has been applied so far to functi...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...
CEC
2005
IEEE
14 years 5 months ago
Constraint quadratic approximation operator for treating equality constraints with genetic algorithms
Abstract- This paper presents a new operator for genetic algorithms that enhances their convergence in the case of nonlinear problems with nonlinear equality constraints. The propo...
Elizabeth F. Wanner, Frederico G. Guimarães...
CEC
2005
IEEE
14 years 5 months ago
Empowerment: a universal agent-centric measure of control
Abstract- The classical approach to using utility functions suffers from the drawback of having to design and tweak the functions on a case by case basis. Inspired by examples from...
Alexander S. Klyubin, Daniel Polani, Chrystopher L...
CEC
2005
IEEE
14 years 5 months ago
Evolutionary algorithm for noun phrase detection in natural language processing
Noun phrases of a document usually are the main information bearers. Thus, the detection of these units is crucial in many applications related to information retrieval, such as co...
Jose Ignacio Serrano, Lourdes Araujo
CEC
2005
IEEE
14 years 5 months ago
Designing comminution circuits with a multi-objective evolutionary algorithm
Mining is an important industry in Australia, contributing billions of dollars to the economy. The performance of a processing plant has a large impact on the profitability of a m...
Simon Huband, Luigi Barone, Philip Hingston, R. Ly...
CEC
2005
IEEE
14 years 5 months ago
Evolving swarms that build 3D structures
The complex interactions of natural swarms, for example formed by some social insects, are difficult to comprehend. Considering tasks such as nestbuilding, the necessary underlyin...
Sebastian von Mammen, Christian Jacob, Gabriella K...
CEC
2005
IEEE
14 years 5 months ago
Evolving dispatching rules for solving the flexible job-shop problem
We solve the Flexible Job-Shop Problem (FJSP) by using dispatching rules discovered through Genetic Programming (GP). While Simple Priority Rules (SPR) have been widely applied in ...
Nhu Binh Ho, Joc Cing Tay