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JUCS
2008
159views more  JUCS 2008»
14 years 9 months ago
Two Step Swarm Intelligence to Solve the Feature Selection Problem
: In this paper we propose a new approach to Swarm Intelligence called Two-Step Swarm Intelligence. The basic idea is to split the heuristic search performed by agents into two sta...
Yudel Gómez, Rafael Bello, Amilkar Puris, M...
GECCO
2007
Springer
234views Optimization» more  GECCO 2007»
15 years 3 months ago
Applying particle swarm optimization to software testing
Evolutionary structural testing is an approach to automatically generating test cases that achieve high structural code coverage. It typically uses genetic algorithms (GAs) to sea...
Andreas Windisch, Stefan Wappler, Joachim Wegener
DSD
2008
IEEE
139views Hardware» more  DSD 2008»
14 years 11 months ago
Discrete Particle Swarm Optimization for Multi-objective Design Space Exploration
Platform-based design represents the most widely used approach to design System-On-Chip (SOC) applications. In this context, the Design Space Exploration (DSE) phase consists of o...
Gianluca Palermo, Cristina Silvano, Vittorio Zacca...
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
15 years 3 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
PRL
2007
180views more  PRL 2007»
14 years 9 months ago
Feature selection based on rough sets and particle swarm optimization
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...
Xiangyang Wang, Jie Yang, Xiaolong Teng, Weijun Xi...