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GECCO
2005
Springer
15 years 3 months ago
Towards an analysis of dynamic environments
Although the interest in nature-inspired optimization of dynamic problems has been growing constantly over the past decade, very little has been done to analyze and characterize a...
Jürgen Branke, Erdem Salihoglu, Sima Uyar
CEC
2009
IEEE
15 years 4 months ago
An adaptive learning particle swarm optimizer for function optimization
— Traditional particle swarm optimization (PSO) suffers from the premature convergence problem, which usually results in PSO being trapped in local optima. This paper presents an...
Changhe Li, Shengxiang Yang
GECCO
2003
Springer
15 years 2 months ago
Optimization Using Particle Swarms with Near Neighbor Interactions
This paper presents a modification of the particle swarm optimization algorithm (PSO) intended to combat the problem of premature convergence observed in many applications of PSO. ...
Kalyan Veeramachaneni, Thanmaya Peram, Chilukuri K...
78
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EOR
2007
159views more  EOR 2007»
14 years 9 months ago
Solving the semi-desirable facility location problem using bi-objective particle swarm
In this paper, a new model for the semi-obnoxious facility location problem is introduced. The new model is composed of a weighted minisum function to represent the transportation...
Haluk Yapicioglu, Alice E. Smith, Gerry V. Dozier
GECCO
2007
Springer
140views Optimization» more  GECCO 2007»
15 years 3 months ago
On the moments of the sampling distribution of particle swarm optimisers
A method is presented that allows one to exactly determine all the characteristics of a PSO’s sampling distribution and explain how it changes over time, in the presence stochas...
Riccardo Poli