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ICASSP
2011
IEEE
12 years 11 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...
CEC
2009
IEEE
14 years 2 months ago
A clustering particle swarm optimizer for dynamic optimization
Abstract—In the real world, many applications are nonstationary optimization problems. This requires that optimization algorithms need to not only find the global optimal soluti...
Changhe Li, Shengxiang Yang
GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
13 years 8 months ago
Social interaction in particle swarm optimization, the ranked FIPS, and adaptive multi-swarms
The interaction among particles is a vital aspect of Particle Swarm Optimization. As such, it has a strong influence on the swarm’s success. In this study various approaches re...
Johannes Jordan, Sabine Helwig, Rolf Wanka
CEC
2008
IEEE
14 years 1 months ago
Improved Particle Swarm Optimization with low-discrepancy sequences
— Quasirandom or low discrepancy sequences, such as the Van der Corput, Sobol, Faure, Halton (named after their inventors) etc. are less random than a pseudorandom number sequenc...
Millie Pant, Radha Thangaraj, Crina Grosan, Ajith ...
ASIAMS
2008
IEEE
14 years 1 months ago
A Fuzzy Particle Swarm Approach to Multiobjective Quadratic Assignment Problems
The multiobjective Quadratic Assignment Problem (mQAP) is considered as one of the hardest optimization problems but with many real-world applications. Since it may not be possibl...
Mingyan Zhao, Ajith Abraham, Crina Grosan, Hongbo ...