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CEC
2007
IEEE
14 years 18 days ago
A closed loop stability analysis and parameter selection of the Particle Swarm Optimization dynamics for faster convergence
This paper presents an alternative formulation of the PSO dynamics by a closed loop control system, and analyzes the stability behavior of the system by using Jury's test and ...
Nayan R. Samal, Amit Konar, Swagatam Das, Ajith Ab...
ANTSW
2006
Springer
14 years 10 days ago
Communication, Leadership, Publicity and Group Formation in Particle Swarms
In this paper we look at how the structure of the social network and the nature of the social interactions can affect the behaviour of particle swarms. To this end, we create and ...
Riccardo Poli, William B. Langdon, Paul Marrow, Ja...
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
14 years 2 months ago
Two improved differential evolution schemes for faster global search
Differential evolution (DE) is well known as a simple and efficient scheme for global optimization over continuous spaces. In this paper we present two new, improved variants of D...
Swagatam Das, Amit Konar, Uday Kumar Chakraborty
BMCBI
2006
146views more  BMCBI 2006»
13 years 8 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
ICDIM
2008
IEEE
14 years 3 months ago
Hybrid differential evolution - Particle Swarm Optimization algorithm for solving global optimization problems
This paper presents a simple, hybrid two phase global optimization algorithm called DE-PSO for solving global optimization problems. DE-PSO consists of alternating phases of Diffe...
Millie Pant, Radha Thangaraj, Crina Grosan, Ajith ...