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CEC
2007
IEEE
14 years 1 months ago
On performance metrics and particle swarm methods for dynamic multiobjective optimization problems
— This paper describes two performance measures for measuring an EMO (Evolutionary Multiobjective Optimization) algorithm’s ability to track a time-varying Paretofront in a dyn...
Xiaodong Li, Jürgen Branke, Michael Kirley
GECCO
2007
Springer
197views Optimization» more  GECCO 2007»
14 years 1 months ago
Computational intelligence techniques: a study of scleroderma skin disease
This paper presents an analysis of microarray gene expression data from patients with and without scleroderma skin disease using computational intelligence and visual data mining ...
Julio J. Valdés, Alan J. Barton
SOCO
2010
Springer
13 years 6 months ago
Automatic circle detection on digital images with an adaptive bacterial foraging algorithm
This article presents an algorithm for the automatic detection of circular shapes from complicated and noisy images without using the conventional Hough transform methods. The prop...
Sambarta Dasgupta, Swagatam Das, Arijit Biswas, Aj...
ICIP
2009
IEEE
13 years 5 months ago
Multi-object tracking in non-stationary video using bacterial foraging swarms
One of the key problems in the field of image processing is object tracking in video. Multiple objects, occlusion, and non-stationary video are some of the challenges that one may...
Hoang Thanh Nguyen, Bir Bhanu
CEC
2009
IEEE
14 years 2 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