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ISNN
2004
Springer
14 years 1 months ago
Evolving Flexible Neural Networks Using Ant Programming and PSO Algorithm
A flexible neural network (FNN) is a multilayer feedforward neural network with the characteristics of: (1) overlayer connections; (2) variable activation functions for different...
Yuehui Chen, Bo Yang, Jiwen Dong
ICANN
2009
Springer
14 years 10 days ago
On the Knowledge Organization in Concept Formation: An Exploratory Cognitive Modeling Study
Abstract. Recent cognitive modeling studies suggest the effectiveness of metaheuristic optimization in describing human cognitive behaviors. Such models are built on the basis of p...
Toshihiko Matsuka, Hidehito Honda, Arieta Chouchou...
CEC
2010
IEEE
13 years 5 months ago
Comparison of GA and PSO performance in parameter estimation of microbial growth models: A case-study using experimental data
In this work we examined the performance of two evolutionary algorithms, a genetic algorithm (GA) and particle swarm optimization (PSO), in the estimation of the parameters of a mo...
Dulce Calcada, Agostinho Rosa, Luis C. Duarte, Vit...
TEC
2008
98views more  TEC 2008»
13 years 7 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...
TWC
2008
194views more  TWC 2008»
13 years 7 months ago
Optimal Power Scheduling for Correlated Data Fusion in Wireless Sensor Networks via Constrained PSO
Optimal power scheduling for distributed detection in a Gaussian sensor network is addressed for both independent and correlated observations. We assume amplify-and-forward local p...
Thakshila Wimalajeewa, Sudharman K. Jayaweera