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GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
16 years 20 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 19 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 19 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 15 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 15 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