Artificial neural network method in solving smart cities construction fuzzy multi-objective linear programming problems-Reference-Cited by-同舟云学术

Artificial neural network method in solving smart cities construction fuzzy multi-objective linear programming problems

Published:2024-07-01 Issue:7 Volume:14 Page:
ISSN:2158-3226
Container-title:AIP Advances
language:en
Short-container-title:

Author:

Alqasem Ohud A.¹,Abd Elwahab Maysaa Elmahi¹,Bakr M.²,Al-Sharari Hamed D.³,Elsharkawy Khaled⁴^ORCID

Affiliation:

1. Department of Mathematical Sciences, College of Science, Princess Nourah Bint Abdulrahman University 1 , P.O. Box 84428, Riyadh 11671, Saudi Arabia

2. Department of Basic Science 2 , Giza Engineering Institute, Giza, Egypt.

3. College of Computing and Informatics, Saudi Electronic University 3 , Riyadh, Saudi Arabia

4. Higher Institute of Engineering and Technology 4 , 6th of October City, Egypt

Abstract

Nowadays, the increasing demands of smart cities require innovative technologies to optimize resource utilization and minimize costs. This research focuses on the construction sector, specifically the production of advanced high-strength steel. We address practical application problems from the iron and steel factory in Annaba, Algeria, known as fuzzy multi-objective linear programming problems. Two methods are applied: a mathematical model and Artificial Neural Networks (ANNs). Results indicate that the ANN approach offers significant time and effort savings.

Funder

Princess Nourah Bint Abdulrahman University

Publisher

AIP Publishing

Link

https://pubs.aip.org/aip/adv/article-pdf/doi/10.1063/5.0200910/20044585/075015_1_5.0200910.pdf

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