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KDD
2010
ACM
195views Data Mining» more  KDD 2010»
15 years 1 months ago
Universal multi-dimensional scaling
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is m...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...
CP
1998
Springer
15 years 2 months ago
Modelling CSP Solution Algorithms with Petri Decision Nets
The constraint paradigm provides powerful concepts to represent and solve different kinds of planning problems, e. g. factory scheduling. Factory scheduling is a demanding optimiz...
Stephan Pontow
DCC
2005
IEEE
15 years 9 months ago
Towards Practical Minimum-Entropy Universal Decoding
Minimum-entropy decoding is a universal decoding algorithm used in decoding block compression of discrete memoryless sources as well as block transmission of information across di...
Todd P. Coleman, Muriel Médard, Michelle Ef...
OR
2010
Springer
14 years 4 months ago
A new multi-objective optimization formulation for rail-car fleet sizing problems
Abstract With potential application to a variety of industries, fleet sizing problems present a prevalent and significant challenge for engineers and managers. This is especially t...
Hamid Reza Sayarshad, Timothy Marler
CAS
2008
68views more  CAS 2008»
14 years 10 months ago
Very Strongly Constrained Problems: an Ant Colony Optimization Approach
: Ant Colony Optimization (ACO) is a class of metaheuristic algorithms sharing the common approach of constructing a solution on the basis of information provided both by a standar...
Vittorio Maniezzo, Matteo Roffilli