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2010
Springer
15 years 10 months ago
Multi-Objective Probability Collectives
We describe and evaluate a multi-objective optimisation (MOO) algorithm that works within the Probability Collectives (PC) optimisation framework. PC is an alternative approach to ...
Antony Waldock, David Corne
142
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LION
2009
Springer
210views Optimization» more  LION 2009»
15 years 10 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...
96
Voted
ICPR
2008
IEEE
15 years 10 months ago
Tree-serial dynamic programming for image processing
A lot of image analysis problems lend themselves to a unified mathematical formulation as optimization problems. Tree-serial dynamic programming is a particular case of the so-cal...
Andrey Kopylov
155
Voted
HUMO
2007
Springer
15 years 7 months ago
Efficient Upper Body Pose Estimation from a Single Image or a Sequence
We propose a method to find candidate 2D articulated model configurations by searching for locally optimal configurations under a weak but computationally manageable fitness functi...
Matheen Siddiqui, Gérard G. Medioni
GLOBECOM
2009
IEEE
15 years 1 months ago
Minimum-Length Scheduling for Multicast Traffic under Channel Uncertainty
Abstract--We consider a set of multicast sources, each multicasting a finite amount of data to its corresponding destinations. The objective is to minimize the time to deliver all ...
Anna Pantelidou, Anthony Ephremides