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166
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ANTSW
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. We present a modified version of the Particle swarm Optimization algorithm in which we adjust the virtual swarm search by incorporating inter-agent dynamics native to mul...
174
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ECAI
2006
Springer
15 years 10 months ago
2006
Springer
Some of the most successful algorithms for satisfiability, such as Walksat, are based on random walks. Similarly, local search algorithms for solving constraint optimization proble...
189
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ECAI
2008
Springer
15 years 8 months ago
2008
Springer
We propose a new algorithm for solving Distributed Constraint Optimization Problems (DCOPs). Our algorithm, called DyBop, is based on branch and bound search with dynamic ordering ...
239
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ICMLA
2004
15 years 8 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...
163
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ICMCS
2007
IEEE
16 years 1 months ago
2007
IEEE
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...