A separation method for maximal covering location problems with fuzzy parameters

Our paper discusses a novel computational approach to the extended Maximal Covering Location Problem (MCLP). We consider a fuzzy-type formulation of the generic MCLP and develop the necessary theoretical and numerical aspects of the proposed Separation Method (SM). A speciffic structure of the origi...

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Autores:

Tipo de recurso:

Fecha de publicación:

2017

Institución:

Universidad de Medellín

Repositorio:

Repositorio UDEM

Idioma:

eng

OAI Identifier:

oai:repository.udem.edu.co:11407/4286

Acceso en línea:

http://hdl.handle.net/11407/4286

Palabra clave:

Integer optimization
MCLP
Numerical optimization
Integer programming
Multiobjective optimization
Numerical methods
Separation
Site selection
Supply chains
Computational algorithm
Integer optimization
Maximal covering location problems
Maximal covering location problems (MCLP)
MCLP
Multi-objective optimization problem
Numerical optimizations
Supply chain optimization
Optimization

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