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GECCO
2004
Springer
144views Optimization» more  GECCO 2004»
15 years 7 months ago
Feature Subset Selection, Class Separability, and Genetic Algorithms
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
Erick Cantú-Paz
GECCO
2005
Springer
197views Optimization» more  GECCO 2005»
15 years 7 months ago
Breeding swarms: a GA/PSO hybrid
Abstract. In this paper we propose a novel hybrid (GA/PSO) algorithm, Breeding Swarm, combining the strengths of particle swarm optimization with genetic algorithms. The hybrid alg...
Matthew Settles, Terence Soule
INFOCOM
2007
IEEE
15 years 8 months ago
How Optimal are Wireless Scheduling Protocols?
— In wireless networks mutual interference impairs the quality of received signals and might even prevent the correct reception of messages. It is therefore of paramount importan...
Thomas Moscibroda, Yvonne Anne Oswald, Roger Watte...
AMC
2007
129views more  AMC 2007»
15 years 2 months ago
Multi-objective task allocation in distributed computing systems by hybrid particle swarm optimization
In a distributed computing system (DCS), we need to allocate a number of modules to different processors for execution. It is desired to maximize the processor synergism in order...
Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang, Yi-Te...
ISAAC
2000
Springer
178views Algorithms» more  ISAAC 2000»
15 years 5 months ago
Simple Algorithms for a Weighted Interval Selection Problem
Given a set of jobs, each consisting of a number of weighted intervals on the real line, and a number m of machines, we study the problem of selecting a maximum weight subset of th...
Thomas Erlebach, Frits C. R. Spieksma