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178
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GECCO
2005
Springer
145views Optimization» more  GECCO 2005»
16 years 15 days ago
Three dimensional evolutionary aerodynamic design optimization with CMA-ES
In this paper, we present the application of evolutionary optimization methods to a demanding, industrially relevant engineering domain, the three-dimensional optimization of gas ...
Martina Hasenjäger, Bernhard Sendhoff, Toyota...
163
Voted
SOCO
2005
Springer
16 years 14 days ago
Directory Support for Large-Scale, Automated Service Composition
In an open environment populated by large numbers of services, automated service composition is a major challenge. In such a setting the efficient interaction of directory-based s...
Walter Binder, Ion Constantinescu, Boi Faltings
204
Voted
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
16 years 11 days 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
165
Voted
WEA
2004
Springer
120views Algorithms» more  WEA 2004»
16 years 10 days 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
201
Voted
FPL
2003
Springer
130views Hardware» more  FPL 2003»
16 years 6 days 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...