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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...
AAAI
2000
13 years 9 months ago
Solving a Supply Chain Optimization Problem Collaboratively
We propose a novel algorithmic framework to solve an integrated planning and scheduling problem in supply chain management. This problem involves the integration of an inventory m...
Hoong Chuin Lau, Andrew Lim, Qi Zhang Liu
OPODIS
1997
13 years 9 months ago
Solving Consensus in a Byzantine Environment Using an Unreliable Fault Detector
Unreliable fault detectors can be used to solve the consensus problem in asynchronous distributed systems that are subject to crash faults. We extend this result to asynchronous d...
Kim Potter Kihlstrom, Louise E. Moser, P. M. Melli...
COR
2008
128views more  COR 2008»
13 years 7 months ago
Solving dynamic stochastic economic models by mathematical programming decomposition methods
Discrete-time optimal control problems arise naturally in many economic problems. Despite the rapid growth in computing power and new developments in the literature, many economic...
Mercedes Esteban-Bravo, Francisco J. Nogales
CORR
2008
Springer
71views Education» more  CORR 2008»
13 years 7 months ago
Problem Solving and Complex Systems
The observation and modeling of natural Complex Systems (CSs) like the human nervous system, the evolution or the weather, allows the definition of special abilities and models re...
Frédéric Guinand, Yoann Pigné