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GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
16 years 7 days 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
IMR
2004
Springer
16 years 6 days ago
MSTK - A Flexible Infrastructure Library for Developing Mesh Based Applications
MSTK is a powerful framework for low-level creation and manipulation of unstructured meshes. MSTK is not a mesh generator but it can be used to develop advanced mesh generation so...
Rao V. Garimella
OPNETEC
2004
Springer
16 years 6 days ago
WONDER: Overview of a Packet-Switched MAN Architecture
: This paper presents the architecture of WONDER, an innovative WDM optical packet network suited for a high-capacity metro environment. The network prototype is under development ...
A. Bianciotto, Roberto Gaudino
GECCO
2003
Springer
133views Optimization» more  GECCO 2003»
16 years 1 days ago
Optimisation of Reaction Mechanisms for Aviation Fuels Using a Multi-objective Genetic Algorithm
In this study a multi-objective genetic algorithm approach is developed for determining new reaction rate parameters for the combustion of kerosene/air mixtures. The multi-objectiv...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
GECCO
2003
Springer
129views Optimization» more  GECCO 2003»
16 years 1 days ago
Evolutionary Two-Dimensional DNA Sequence Alignment
This article presents a model for DNA sequence alignment. In our model, a finite state automaton writes two-dimensional maps of nucleotide sequences. An evolutionary method for se...
Edgar E. Vallejo, Fernando Ramos