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Solving the deterministic and stochastic uncapacitated facility location problem: from a heuristic to a simheuristic
by
Marquès, Joan M.
, Juan, Angel A.
, de Armas, Jesica
, Pedroso, João Pedro
in
Algorithms
/ Business and Management
/ Combinatorial analysis
/ Combinatorial optimization
/ Computer simulation
/ Cost control
/ Cost engineering
/ Heuristic
/ Heuristic methods
/ Logistics
/ Management
/ metaheuristics
/ metaheurística
/ Operations research
/ Operations Research/Decision Theory
/ Optimització combinatòria
/ Optimización combinatoria
/ Optimization
/ problema de localització d'instal·lacions no capacitat
/ problema de localización de instalaciones no capacitado
/ problemas de optimización combinatoria estocástica
/ problemes d'optimització combinatòria estocàstica
/ simheuristics
/ simheurística
/ Site selection
/ stochastic combinatorial optimization problems
/ uncapacitated facility location problem
2017
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Solving the deterministic and stochastic uncapacitated facility location problem: from a heuristic to a simheuristic
by
Marquès, Joan M.
, Juan, Angel A.
, de Armas, Jesica
, Pedroso, João Pedro
in
Algorithms
/ Business and Management
/ Combinatorial analysis
/ Combinatorial optimization
/ Computer simulation
/ Cost control
/ Cost engineering
/ Heuristic
/ Heuristic methods
/ Logistics
/ Management
/ metaheuristics
/ metaheurística
/ Operations research
/ Operations Research/Decision Theory
/ Optimització combinatòria
/ Optimización combinatoria
/ Optimization
/ problema de localització d'instal·lacions no capacitat
/ problema de localización de instalaciones no capacitado
/ problemas de optimización combinatoria estocástica
/ problemes d'optimització combinatòria estocàstica
/ simheuristics
/ simheurística
/ Site selection
/ stochastic combinatorial optimization problems
/ uncapacitated facility location problem
2017
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Solving the deterministic and stochastic uncapacitated facility location problem: from a heuristic to a simheuristic
by
Marquès, Joan M.
, Juan, Angel A.
, de Armas, Jesica
, Pedroso, João Pedro
in
Algorithms
/ Business and Management
/ Combinatorial analysis
/ Combinatorial optimization
/ Computer simulation
/ Cost control
/ Cost engineering
/ Heuristic
/ Heuristic methods
/ Logistics
/ Management
/ metaheuristics
/ metaheurística
/ Operations research
/ Operations Research/Decision Theory
/ Optimització combinatòria
/ Optimización combinatoria
/ Optimization
/ problema de localització d'instal·lacions no capacitat
/ problema de localización de instalaciones no capacitado
/ problemas de optimización combinatoria estocástica
/ problemes d'optimització combinatòria estocàstica
/ simheuristics
/ simheurística
/ Site selection
/ stochastic combinatorial optimization problems
/ uncapacitated facility location problem
2017
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Solving the deterministic and stochastic uncapacitated facility location problem: from a heuristic to a simheuristic
Journal Article
Solving the deterministic and stochastic uncapacitated facility location problem: from a heuristic to a simheuristic
2017
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Overview
The uncapacitated facility location problem (UFLP) is a popular combinatorial optimization problem with practical applications in different areas, from logistics to telecommunication networks. While most of the existing work in the literature focuses on minimizing total cost for the deterministic version of the problem, some degree of uncertainty (e.g., in the customers' demands or in the service costs) should be expected in real-life applications. Accordingly, this paper proposes a simheuristic algorithm for solving the stochastic UFLP (SUFLP), where optimization goals other than the minimum expected cost can be considered. The development of this simheuristic is structured in three stages: (i) first, an extremely fast savings-based heuristic is introduced; (ii) next, the heuristic is integrated into a metaheuristic framework, and the resulting algorithm is tested against the optimal values for the UFLP; and (iii) finally, the algorithm is extended by integrating it with simulation techniques, and the resulting simheuristic is employed to solve the SUFLP. Some numerical experiments contribute to illustrate the potential uses of each of these solving methods, depending on the version of the problem (deterministic or stochastic) as well as on whether or not a real-time solution is required.
Publisher
Taylor & Francis,Taylor & Francis, Ltd,Palgrave Macmillan UK,Taylor & Francis Ltd,Journal of the Operational Research Society
Subject
/ Operations Research/Decision Theory
/ problema de localització d'instal·lacions no capacitat
/ problema de localización de instalaciones no capacitado
/ problemas de optimización combinatoria estocástica
/ problemes d'optimització combinatòria estocàstica
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