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» Adaptive Particle Swarm Optimization
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ASC
2011
13 years 2 months ago
A note on the learning automata based algorithms for adaptive parameter selection in PSO
: PSO, like many stochastic search methods, is very sensitive to efficient parameter setting such that modifying a single parameter may cause a considerable change in the result. I...
Ali B. Hashemi, Mohammad Reza Meybodi
SAB
2004
Springer
182views Optimization» more  SAB 2004»
14 years 25 days ago
The SWARM-BOTS Project
This paper provides an overview of the SWARM-BOTS project, a robotic project sponsored by the Future and Emerging Technologies program of the European Commission. The paper illustr...
Marco Dorigo, Elio Tuci, Roderich Groß, Vito...
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
HEURISTICS
2008
120views more  HEURISTICS 2008»
13 years 7 months ago
A local linear embedding module for evolutionary computation optimization
A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...
Fabio Boschetti
CEC
2008
IEEE
14 years 2 months ago
Parallel multi-objective optimization using Master-Slave model on heterogeneous resources
Abstract— In this paper, we study parallelization of multiobjective optimization algorithms on a set of hetergeneous resources based on the Master-Slave model. Master-Slave model...
Sanaz Mostaghim, Jürgen Branke, Andrew Lewis,...