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169
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ICMLA
2004
15 years 4 months ago
2004
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
119
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NIPS
2003
15 years 4 months ago
2003
The Google search engine has enjoyed huge success with its web page ranking algorithm, which exploits global, rather than local, hyperlink structure of the web using random walks....
104
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CONSTRAINTS
2007
15 years 3 months ago
2007
We study the “inter-distance constraint”, also known as the global minimum distance constraint, that ensures that the distance between any pair of variables is at least equal ...
117
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JEI
2006
15 years 3 months ago
2006
To prevent large error accumulation in multiple image registration considering real-time applications, we propose a new fast global mosaic method using sequential block matching in...
150
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ANTSW
2008
Springer
15 years 5 months ago
2008
Springer
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perfor...