Artificial neural network method in solving smart cities construction fuzzy multi-objective linear programming problems
Source abstract
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.
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Research context
OpenAlex topics: Optimization and Mathematical Programming · Multi-Criteria Decision Making
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Affiliations
Department of Mathematical Sciences, College of Science, Princess Nourah Bint Abdulrahman University 1 , P.O. Box 84428, Riyadh 11671, Saudi Arabia
Department of Basic Science 2 , Giza Engineering Institute, Giza, Egypt.
College of Computing and Informatics, Saudi Electronic University 3 , Riyadh, Saudi Arabia
Higher Institute of Engineering and Technology 4 , 6th of October City, Egypt
Funding
Princess Nourah Bint Abdulrahman University
References (16)
Show source-provided references
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