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ICASSP
2011
IEEE
14 years 5 months ago
Feature selection through gravitational search algorithm
In this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimi...
João Paulo Papa, Andre Pagnin, Silvana Arti...
VLDB
1995
ACM
96views Database» more  VLDB 1995»
15 years 4 months ago
The Fittest Survives: An Adaptive Approach to Query Optimization
Traditionally, optimizers are “programmed” to optimize queries following a set of buildin procedures. However, optimizers should be robust to its changing environment to gener...
Hongjun Lu, Kian-Lee Tan, Son Dao
ANOR
2007
166views more  ANOR 2007»
15 years 1 months ago
Memetic particle swarm optimization
Abstract We propose a new Memetic Particle Swarm Optimization scheme that incorporates local search techniques in the standard Particle Swarm Optimization algorithm, resulting in a...
Y. G. Petalas, Konstantinos E. Parsopoulos, Michae...
WECWIS
2009
IEEE
162views ECommerce» more  WECWIS 2009»
15 years 8 months ago
QoS-Driven Web Service Composition Using Learning-Based Depth First Search
—The goal of the Web Service Composition (WSC) problem is to find an optimal composition of web services to satisfy a given request using their syntactic and/or semantic feature...
Wonhong Nam, Hyunyoung Kil, Jungjae Lee
ISVLSI
2005
IEEE
115views VLSI» more  ISVLSI 2005»
15 years 6 months ago
Quasi-Exact BDD Minimization Using Relaxed Best-First Search
In this paper we present a new method for quasiexact optimization of BDDs using relaxed ordered best-first search. This general method is applied to BDD minimization. In contrast...
Rüdiger Ebendt, Rolf Drechsler