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GECCO
2004
Springer
101views Optimization» more  GECCO 2004»
14 years 29 days ago
A Novel Multi-objective Orthogonal Simulated Annealing Algorithm for Solving Multi-objective Optimization Problems with a Large
In this paper, a novel multi-objective orthogonal simulated annealing algorithm MOOSA using a generalized Pareto-based scale-independent fitness function and multi-objective intell...
Li-Sun Shu, Shinn-Jang Ho, Shinn-Ying Ho, Jian-Hun...
WSC
2004
13 years 9 months ago
A Meta-Heuristic Based on Simulated Annealing for Solving Multiple-Objective Problems in Simulation Optimization
This paper presents a new meta heuristic algorithm based on the search method called simulated annealing, and its application to solving multi objective simulation optimization pr...
Eduardo Alberto Avello, Felipe F. Baesler, Reinald...
CCP
2011
136views more  CCP 2011»
12 years 7 months ago
Fast Implementation of Block Motion Estimation Algorithms in Video Encoders
This project will involve analysing some of the newer fast algorithms in comparison with an exhaustive full search algorithm for motion estimation in video encoders. It will invest...
Naga Rohini Koduri, Mqhele E. Dlodlo, Gerhard de J...
SIGIR
1999
ACM
13 years 12 months ago
Content-Based Retrieval Using Heuristic Search
The fast growth of multimedia information in image and video databases has triggered research on efficient retrieval methods. This paper deals with structural queries, a type of c...
Dimitris Papadias, Marios Mantzourogiannis, Panos ...
CIKM
2010
Springer
13 years 5 months ago
A unified optimization framework for robust pseudo-relevance feedback algorithms
We present a flexible new optimization framework for finding effective, reliable pseudo-relevance feedback models that unifies existing complementary approaches in a principled wa...
Joshua V. Dillon, Kevyn Collins-Thompson