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» Evolutionary Algorithms for the Satisfiability Problem
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TEC
2012
234views Formal Methods» more  TEC 2012»
13 years 5 months ago
Cooperatively Coevolving Particle Swarms for Large Scale Optimization
—This paper presents a new cooperative coevolving particle swarm optimization (CCPSO) algorithm in an attempt to address the issue of scaling up particle swarm optimization (PSO)...
Xiaodong Li, Xin Yao
IJCV
2006
120views more  IJCV 2006»
15 years 3 months ago
Contour Inferences for Image Understanding
We present a new approach to the algorithmic study of planar curves, with applications to estimations of contours in images. We construct spaces of curves satisfying constraints su...
Washington Mio, Anuj Srivastava, Xiuwen Liu
CEC
2008
IEEE
15 years 9 months ago
On the scalability of particle swarm optimisation
— Particle swarm has proven to be competitive to other evolutionary algorithms in the field of optimization, and in many cases enables a faster convergence to the ideal solution...
Sébastien Piccand, Michael O'Neill, Jacquel...
JNCA
2011
102views more  JNCA 2011»
14 years 6 months ago
Multi-objective zone mapping in large-scale distributed virtual environments
In large-scale distributed virtual environments (DVEs), the NP-hard zone mapping problem concerns how to assign distinct zones of the virtual world to a number of distributed serv...
Ta Nguyen Binh Duong, Suiping Zhou, Wentong Cai, X...
SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
15 years 4 months ago
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou