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74
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WEA
2004
Springer
120views Algorithms» more  WEA 2004»
15 years 3 months ago
An Improved Time-Sensitive Metaheuristic Framework for Combinatorial Optimization
We introduce a metaheuristic framework for combinatorial optimization. Our framework is similar to others (e.g. [1]) in that it is modular enough that important components can be i...
Vinhthuy T. Phan, Steven Skiena
CIA
2006
Springer
15 years 1 months ago
Learning to Negotiate Optimally in Non-stationary Environments
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
Vidya Narayanan, Nicholas R. Jennings
111
Voted
ISTA
2003
14 years 11 months ago
Support Vector Machine Parameter Optimization for Text Categorization Problems
: This paper analyzes the influence of different parameters of Support Vector Machine (SVM) on text categorization performance. The research is carried out on different text collec...
Mikhail S. Ageev, Boris V. Dobrov
93
Voted
AUTOMATICA
2006
104views more  AUTOMATICA 2006»
14 years 10 months ago
Optimal sensor placement and motion coordination for target tracking
This work studies optimal sensor placement and motion coordination strategies for mobile sensor networks. For a target tracking application with range sensors, we investigate the ...
Sonia Martínez, Francesco Bullo
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
14 years 8 months ago
Bumblebees: a multiagent combinatorial optimization algorithm inspired by social insect behaviour
This paper introduces a multiagent optimization algorithm inspired by the collective behavior of social insects. In our method, each agent encodes a possible solution of the probl...
Francesc Comellas, Jesus Martinez-Navarro