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...
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...
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...
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...
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...
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...
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 ...