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GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
15 years 12 months ago
A Descriptive Encoding Language for Evolving Modular Neural Networks
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
Jae-Yoon Jung, James A. Reggia
GECCO
2004
Springer
119views Optimization» more  GECCO 2004»
15 years 12 months ago
Randomized Local Search, Evolutionary Algorithms, and the Minimum Spanning Tree Problem
Randomized search heuristics, among them randomized local search and evolutionary algorithms, are applied to problems whose structure is not well understood, as well as to problems...
Frank Neumann, Ingo Wegener
GECCO
2004
Springer
15 years 12 months ago
On the Choice of the Population Size
Abstract. Evolutionary Algorithms (EAs) are population-based randomized optimizers often solving problems quite successfully. Here, the focus is on the possible effects of changin...
Tobias Storch
GI
2004
Springer
15 years 12 months ago
Vision as an Exercise in Organic Computing
Abstract: The vision process is very complex and requires for its realization in artificial systems a fundamentally new technology for systems generation. This must be based on pr...
Christoph von der Malsburg
IBERAMIA
2004
Springer
15 years 12 months ago
Multi-session Management in Spoken Dialogue System
In order to increase the role of machines in supporting more capabilities as regards a spoken dialogue system, we present in this paper a new problem incorporating multi-session in...
Ngoc-Hoa Nguyen, Jean Caelen