Algorithms for Investment Project Distribution on Regions.
Journal
Computational intelligence and neuroscience
ISSN: 1687-5273
Titre abrégé: Comput Intell Neurosci
Pays: United States
ID NLM: 101279357
Informations de publication
Date de publication:
2020
2020
Historique:
received:
10
02
2020
revised:
06
07
2020
accepted:
10
07
2020
entrez:
18
8
2020
pubmed:
18
8
2020
medline:
13
7
2021
Statut:
epublish
Résumé
This paper proposes an optimization system for solving an NP-hard problem by using several new algorithms and application programs. This study aims to identify a suitable distribution of investment projects across several developed industrial regions. It is assumed that all industrial regions involved have the same economic and strategic characteristics. The problem involves a set of projects that are to be assigned across regions. Each project creates an estimated number of new jobs, and the distribution of projects can be guided by minimizing the maximum total number of newly created jobs. The problem is NP-hard one, and it is difficult to determine the most appropriate distribution. We apply scheduling algorithms in order to solve the analyzed problem. Severalheuristics are developedto obtain the appropriate distribution of newly created jobs across all regions. A branch-and-bound method is employed in order to obtain the exact solution. The performance of the algorithm is demonstrated by the experimental results for a total number of 1850 instances.
Identifiants
pubmed: 32802026
doi: 10.1155/2020/3607547
pmc: PMC7416242
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
3607547Informations de copyright
Copyright © 2020 Mafawez Alharbi and Mahdi Jemmali.
Déclaration de conflit d'intérêts
The authors declare that there are no conflicts of interest regarding the publication of this paper.