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118
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GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
15 years 6 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
CEC
2009
IEEE
15 years 9 months ago
Tackling high dimensional nonseparable optimization problems by cooperatively coevolving particle swarms
— This paper attempts to address the question of scaling up Particle Swarm Optimization (PSO) algorithms to high dimensional optimization problems. We present a cooperative coevo...
Xiaodong Li, Xin Yao
123
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GECCO
2004
Springer
142views Optimization» more  GECCO 2004»
15 years 8 months ago
Evolutionary Computation Techniques for Optimizing Fuzzy Cognitive Maps in Radiation Therapy Systems
Abstract. The optimization of a Fuzzy Cognitive Map model for the supervision and monitoring of the radiotherapy process is proposed. This is performed through the minimization of ...
Konstantinos E. Parsopoulos, Elpiniki Papageorgiou...
109
Voted
ANTSW
2008
Springer
15 years 4 months ago
A Dynamic Swarm for Visual Location Tracking
Abstract. The visual localization problem in robotics poses a dynamically changing environment due to the movement of the robot compared to a static image set serving as environmen...
Marcel Kronfeld, Christian Weiss, Andreas Zell
ICMCS
2007
IEEE
194views Multimedia» more  ICMCS 2007»
15 years 8 months ago
Automatically Tuning Background Subtraction Parameters using Particle Swarm Optimization
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
Brandyn White, Mubarak Shah