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» Submodular Maximization by Simulated Annealing
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SAC
2008
ACM
13 years 9 months ago
Particle methods for maximum likelihood estimation in latent variable models
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...
Adam M. Johansen, Arnaud Doucet, Manuel Davy
WSC
2004
13 years 11 months ago
A New Method to Determine the Tool Count of a Semiconductor Factory Using FabSim
Tool count optimization is mandatory for an efficiently organized semiconductor factory. This paper describes an efficient heuristic to determine the tool count using the compact ...
Holger Vogt
IWANN
1995
Springer
14 years 1 months ago
Test Pattern Generation for Analog Circuits Using Neural Networks and Evolutive Algorithms
This paper presents a comparative analysis of neural networks, simulated annealing, and genetic algorithms in the determination of input patterns for testing analog circuits. The ...
José Luis Bernier, Juan J. Merelo Guerv&oac...
EOR
2002
67views more  EOR 2002»
13 years 9 months ago
Solving the multiple competitive facilities location problem
In this paper we propose five heuristic procedures for the solution of the multiple competitive facilities location problem. A franchise of several facilities is to be located in ...
Tammy Drezner, Zvi Drezner, Said Salhi
EPIA
2007
Springer
14 years 4 months ago
Intelligent Farmer Agent for Multi-agent Ecological Simulations Optimization
Abstract. This paper presents the development of a bivalve farmer agent interacting with a realistic ecological simulation system. The purpose of the farmer agent is to determine t...
Filipe Cruz, António Pereira, Pedro Valente...