Publications

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Journal Article
Li, C., G. Xiong, X. Fu, A. W. Mohamed, X. Yuan, M. A. Al-Betar, and P. N. Suganthan, "Takagi–Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm", Knowledge-Based Systems, vol. 255: Elsevier, pp. 109773, 2022. Abstract
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Mohamed, M., K. M. Sallam, and A. W. Mohamed, "Transition supply chain 4.0 to supply chain 5.0: innovations of industry 5.0 technologies toward smart supply chain partners", Neutrosophic systems with applications, vol. 10, pp. 1-11, 2023. Abstract
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Book Chapter
Hassan, S. A., P. Agrawal, T. Ganesh, and A. W. Mohamed, "Traveling Advisor Problem in Occupational Health and Safety Field with a Case Study from Egypt", Africa Case Studies in Operations Research: A Closer Look into Applications and Algorithms: Springer International Publishing Cham, pp. 1-24, 2022. Abstract
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Hassan, S. A., P. Agrawal, T. Ganesh, and A. W. Mohamed, "A Travelling Disinfection-Man Problem (TDP) for COVID-19: A Nonlinear Binary Constrained Gaining-Sharing Knowledge-Based Optimization Algorithm", Intelligent Data Analysis for COVID-19 Pandemic, Singapore, Springer Singapore, pp. 291 - 318, 2021. Abstract

An improved scheduling the disinfection process of the new coronavirus (COVID-19) is introduced. The scheduling aims at achieving the best utilization of the available day time, which is calculated as the total disinfection time minus the total loss travelling time. In this regard, a new application problem is presented, which is called a travelling disinfection-man problem (TDP). The new problem (TDP) in network optimization resemble somehow the famous travelling salesman problems (TSP) but with basic distinct variations where a disinfection group is likely to select a route to reach a subset of predetermined places to be disinfected with the most utilization of the available day working hours. A nonlinear binary model is introduced with a detailed real application case study involving the improving the scheduling of coronavirus disinfection process for five contaminated faculties in Ain Shams University in Cairo, and the case study is solved using a novel discrete binary gaining-sharing knowledge-based optimization algorithm (DBGSK).

Hassan, S. A., P. Agrawal, T. Ganesh, and A. W. Mohamed, "A travelling disinfection-man problem (TDP) for covid-19: a nonlinear binary constrained gaining-sharing knowledge-based optimization algorithm", Intelligent data analysis for COVID-19 pandemic: Springer Singapore Singapore, pp. 291-318, 2021. Abstract
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