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Walter Gil-González, Oscar Danilo Montoya and César Leonardo Trujillo-Rodríguez
This research addresses the efficient integration and sizing of flexible alternating current transmission systems (FACTS) in electrical distribution networks via a convex optimization approach. The exact mixed-integer nonlinear programming (MINLP) model ...
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Botang Li, Qiong Chen, Yui-yip Lau and Maxim A. Dulebenets
This study proposes a novel fuzzy programming optimization model for tugboat scheduling, directly considering multiple berthing bases, time windows, and operational uncertainties. The uncertainties in the required number of tugboats, the earliest start t...
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Nicholas Horne, Pál Schmitt, Ross Culloch, Ben Wilson, Jonathan D. R. Houghton, Andrew Dale and Louise Kregting
Tidal stream energy is a predictable renewable energy source; however, environmental consent of developments remains a key barrier to the expansion of this industry. Uncertainty around collision risk, i.e., the risk of animals colliding with a tidal devi...
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German Francisco Barreto-Parra, Brandon Cortés-Caicedo and Oscar Danilo Montoya
This paper proposes an interconnection of the MATLAB and GAMS software interfaces, which were designed based on a master-slave methodology, to solve the mixed-integer nonlinear programming (MINLP) model problem associated with the problem regarding the o...
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Mohammad H. Alshayeji and Jassim Al-Buloushi
Improved disease prediction accuracy and reliability are the main concerns in the development of models for the medical field. This study examined methods for increasing classification accuracy and proposed a precise and reliable framework for categorizi...
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