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GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
14 years 2 months ago
Two-level of nondominated solutions approach to multiobjective particle swarm optimization
In multiobjective particle swarm optimization (MOPSO) methods, selecting the local best and the global best for each particle of the population has a great impact on the convergen...
M. A. Abido
ICPR
2008
IEEE
14 years 9 months ago
Unsupervised design of Artificial Neural Networks via multi-dimensional Particle Swarm Optimization
In this paper, we present a novel and efficient approach for automatic design of Artificial Neural Networks (ANNs) by evolving to the optimal network configuration(s) within an ar...
E. Alper Yildirim, Ince Turker, Moncef Gabbouj, Se...
JUCS
2008
159views more  JUCS 2008»
13 years 8 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
209views Optimization» more  GECCO 2007»
14 years 2 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
CORR
2010
Springer
110views Education» more  CORR 2010»
13 years 8 months ago
Improving Term Extraction Using Particle Swarm Optimization Techniques
: Problem statement: Term extraction is one of the layers in the ontology development process which has the task to extract all the terms contained in the input document automatica...
Mohammad Syafrullah, Naomie Salim