A separation based optimization approach to Dynamic Maximal Covering Location Problems with switched structure Article Swipe
YOU?
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· 2019
· Open Access
·
· DOI: https://doi.org/10.3934/jimo.2019128
This paper extends a newly developed computational optimization approach to a specific class of Maximal Covering Location Problems (MCLPs) with a switched dynamic structure. Most of the results obtained for the conventional MCLP address the "static" case where an optimal decision is determined on a fixed time-period. In our contribution we consider a dynamic MCLP based optimal decision making and propose an effective computational method for the numerical treatment of the switched-type Dynamic Maximal Covering Location Problem (DMCLP). A generic geometrical structure of the constraints under consideration makes it possible to separate the originally given dynamic optimization problem and reduce it to a specific family of relative simple auxiliary problems. The generalized Separation Method (SM) for the DMCLP with a switched structure finally leads to a computational solution scheme. The resulting numerical algorithm also includes the classic Lagrange relaxation. We present a rigorous formal analysis of the DMCLP optimization methodology and also discuss computational aspects. The proposed SM based algorithm is finally applied to a practically oriented example, namely, to an optimal design of a (dynamic) mobile network configuration.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3934/jimo.2019128
- OA Status
- diamond
- References
- 10
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W2981753061Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3934/jimo.2019128Digital Object Identifier
- Title
-
A separation based optimization approach to Dynamic Maximal Covering Location Problems with switched structureWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-11-21Full publication date if available
- Authors
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Vadim Azhmyakov, Juan Pablo Fernández-Gutiérrez, Erik I. Verriest, Stefan PicklList of authors in order
- Landing page
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https://doi.org/10.3934/jimo.2019128Publisher landing page
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.3934/jimo.2019128Direct OA link when available
- Concepts
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Mathematical optimization, Computer science, Simple (philosophy), Relaxation (psychology), Computational complexity theory, Optimization problem, Algorithm, Mathematics, Epistemology, Social psychology, Psychology, PhilosophyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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