Title:
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Combining biased random sampling with metaheuristics for the facility location problem in distributed computer systems
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Author:
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Cabrera Añon, Guillem; González Martín, Sergio; Juan Pérez, Ángel Alejandro; Grasman, Scott Erwin; Marquès Puig, Joan Manuel
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Abstract:
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This paper introduces a probabilistic algorithm for solving the well-known Facility Location Problem (FLP), an optimization problem frequently encountered in practical applications in fields such as Logistics or Telecommunications. Our algorithm is based on the combination of biased random sampling -using a skewed probability distribution- with a metaheuristic framework. The use of random variates from a skewed distribution allows to guide the local search process inside the metaheuristic framework which, being a stochastic procedure, is likely to produce slightly different results each time it is run. Our approach is validated against some classical benchmarks from the FLP literature and it is also used to analyze the deployment of service replicas in a realistic Internet-distributed system. |
Subject(s):
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-facility location -internet -randomised algorithms -sampling methods -statistical distributions -stochastic processes -localización de instalaciones -algoritmos aleatorios -métodos de muestreo -distribución de probabilidad -procesos estocásticos -internet -localització d'instal·lacions -internet -algoritmes aleatoris -mètodes de mostreig -distribució de probabilitat -processos estocàstics -Algorithms -Algorismes -Algoritmos |
Rights:
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(c) Author/s & (c) Journal
info:eu-repo/semantics/restrictedAccess |
Document type:
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Conference Object |
Published by:
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Winter Simulation Conference (WSC). Proceedings
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