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GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
14 years 2 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
WEA
2004
Springer
120views Algorithms» more  WEA 2004»
14 years 2 months ago
An Improved Time-Sensitive Metaheuristic Framework for Combinatorial Optimization
We introduce a metaheuristic framework for combinatorial optimization. Our framework is similar to others (e.g. [1]) in that it is modular enough that important components can be i...
Vinhthuy T. Phan, Steven Skiena
FPL
2003
Springer
130views Hardware» more  FPL 2003»
14 years 2 months ago
A Smith-Waterman Systolic Cell
With an aim to understand the information encoded by DNA sequences, databases containing large amount of DNA sequence information are frequently compared and searched for matching ...
Chi Wai Yu, K. H. Kwong, Kin-Hong Lee, Philip Heng...
INFOCOM
2000
IEEE
14 years 1 months ago
Alternate Path Routing for Multicast
Abstract— Alternate path routing has been well-explored in telecommunication networks as a means of decreasing the call blocking rate and increasing network utility. However, asi...
Daniel Zappala
IPPS
2000
IEEE
14 years 1 months ago
Information Exchange in Multi Colony Ant Algorithms
Multi colony ant algorithms are evolutionary optimization heuristics that are well suited for parallel execution. Information exchange between the colonies is an important topic th...
Martin Middendorf, Frank Reischle, Hartmut Schmeck