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» A Guided Monte Carlo Approach to Optimization Problems
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ICTAI
2003
IEEE
14 years 3 months ago
Engineering Optimization Using a Simple Evolutionary Algorithm
This paper presents a simple ¢¤£¦¥¨§© Evolution Strategy and three simple selection criteria to solve engineering optimization problems. This approach avoids the use of a...
Efrén Mezura-Montes, Carlos A. Coello Coell...
DCOSS
2011
Springer
12 years 9 months ago
A distributed information fusion method for localization based on Pareto optimization
—To overcome the limitations of specific positioning techniques for mobile wireless nodes and achieve a high accuracy, the fusion of heterogeneous sensor information is an appea...
Alessio De Angelis, Carlo Fischione
WSC
2008
14 years 3 days ago
Randomized methods for solving the Winner Determination Problem in combinatorial auctions
Combinatorial auctions, where buyers can bid on bundles of items rather than bidding them sequentially, often lead to more economically efficient allocations of financial resource...
Joshua C. C. Chan, Dirk P. Kroese
ECCV
2008
Springer
14 years 8 months ago
Window Annealing over Square Lattice Markov Random Field
Monte Carlo methods and their subsequent simulated annealing are able to minimize general energy functions. However, the slow convergence of simulated annealing compared with more ...
Ho Yub Jung, Kyoung Mu Lee, Sang Uk Lee
NOMS
2008
IEEE
14 years 4 months ago
A novel approach to bottleneck analysis in networks
—In this paper∗ , we devise a novel method for bottleneck analysis of UDP networks based on the concept of network utility maximization. To determine the losses on the links in...
Nikhil Shetty, Assane Gueye, Jean C. Walrand