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» On Set-Based Multiobjective Optimization
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HEURISTICS
2006
197views more  HEURISTICS 2006»
13 years 5 months ago
Bucket elimination for multiobjective optimization problems
Multiobjective optimization deals with problems involving multiple measures of performance that should be optimized simultaneously. In this paper we extend bucket elimination (BE),...
Emma Rollon, Javier Larrosa
CEC
2007
IEEE
13 years 11 months ago
On performance metrics and particle swarm methods for dynamic multiobjective optimization problems
— This paper describes two performance measures for measuring an EMO (Evolutionary Multiobjective Optimization) algorithm’s ability to track a time-varying Paretofront in a dyn...
Xiaodong Li, Jürgen Branke, Michael Kirley
GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
13 years 10 months ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello
CVPR
2012
IEEE
11 years 11 months ago
Branch-and-price global optimization for multi-view multi-object tracking
We present a new algorithm to jointly track multiple objects in multi-view images. While this has been typically addressed separately in the past, we tackle the problem as a single...
Laura Leal-Taixe, Gerard Pons-Moll, Bodo Rosenhahn
INFORMS
2007
150views more  INFORMS 2007»
13 years 5 months ago
SSPMO: A Scatter Tabu Search Procedure for Non-Linear Multiobjective Optimization
— We describe the development and testing of a metaheuristic procedure, based on the scatter search methodology, for the problem of approximating the efficient frontier of nonlin...
Julián Molina Luque, Manuel Laguna, Rafael ...