Hub Location-allocation in Computer-based Networks under Disruption Using Whale Optimization Algorithm

• Published in: Industrial Engineering & Management Systems Vol. 21; no. 3; pp. 503 - 515
• Main Authors: Iskandar Muda, R. Sivaraman, Sulieman Ibraheem Shelash Al-H, Untung Rahardja, Rusul S. Bader, Deni Kadarsyah, Karrar Shareef Mohsen, Abdullah Hasan Jabbar, Dr Purnima Chaudhary
• Format: Journal Article
• Language: English
• Published: 대한산업공학회 01.09.2022
• Subjects: 산업공학; Whale Optimization Algorithm; Capacity Hubs; Network Disruption; Hub Location Problem; Optimization Problem; Computer Network
• ISSN: 1598-7248; 2234-6473
• DOI: 10.7232/iems.2022.21.3.503

In this research, the location of hubs in computer networks is investigated using the whale optimization algorithm. The problem of locating hubs in computer networks is an optimization problem and requires the definition of a suitable fit function. Therefore, the total data transfer time and the cost of creating hubs is used as a fit function. Capacitive hubs increase network availability because hubs have more response capacity than the number of node requests connected to the hubs. In hub location issues, the study seeks to connect the nodes to the nearest hub and create a computer network with the least cost of connecting the nodes to the hubs. The present study attempts to reduce disruptions in computer networks as a research innovation. Therefore, by using the whale optimization algorithm and solving the model with its help, the effective factors that affect computer network disruptions and examining the effect of each are identified. Given the results, the model’s reaction in terms of time and cost led to an increase in temporal and cost parameters. KCI Citation Count: 0