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» A branch and bound method for stochastic global optimization
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ICPR
2008
IEEE
15 years 10 months ago
Solving quadratically constrained geometrical problems using lagrangian duality
In this paper we consider the problem of solving different pose and registration problems under rotational constraints. Traditionally, methods such as the iterative closest point ...
Carl Olsson, Anders Eriksson
LION
2009
Springer
210views Optimization» more  LION 2009»
15 years 4 months ago
Beam-ACO Based on Stochastic Sampling: A Case Study on the TSP with Time Windows
Beam-ACO algorithms are hybrid methods that combine the metaheuristic ant colony optimization with beam search. They heavily rely on accurate and computationally inexpensive boundi...
Manuel López-Ibáñez, Christia...
ISVC
2009
Springer
15 years 4 months ago
Stochastic Optimization for Rigid Point Set Registration
In this paper we propose a new method for pairwise rigid point set registration. We pay special attention to noise robustness, outlier resistance and global optimal alignment. The ...
Chavdar Papazov, Darius Burschka
COR
2006
122views more  COR 2006»
14 years 9 months ago
Multiple task assignments for cooperating uninhabited aerial vehicles using genetic algorithms
A problem of assigning cooperating uninhabited aerial vehicles to perform multiple tasks on multiple targets is posed as a new combinatorial optimization problem. A genetic algori...
Tal Shima, Steven J. Rasmussen, Andrew G. Sparks, ...
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AAAI
1998
14 years 11 months ago
Highest Utility First Search Across Multiple Levels of Stochastic Design
Manydesign problems are solved using multiple levels of abstraction, wherea design at one level has combinatorially manychildren at the next level. A stochastic optimization metho...
Louis I. Steinberg, J. Storrs Hall, Brian D. Davis...