Optimization in the context of COVID-19 prediction and control: A literature review
This paper presents an overview of some key results from a body of optimization studies that
are specifically related to COVID-19, as reported in the literature during 2020-2021. As …
are specifically related to COVID-19, as reported in the literature during 2020-2021. As …
Role of metaheuristic algorithms in healthcare: a comprehensive investigation across clinical diagnosis, medical imaging, operations management, and public health
Metaheuristic algorithms have emerged in recent years as effective computational tools for
addressing complex optimization problems in many areas, including healthcare. These …
addressing complex optimization problems in many areas, including healthcare. These …
Data analytics during pandemics: a transportation and location planning perspective
The recent COVID-19 pandemic once again showed the value of harnessing reliable and
timely data in fighting the disease. Obtained from multiple sources via different collection …
timely data in fighting the disease. Obtained from multiple sources via different collection …
Optimization of water management strategies for shale gas extraction considering uncertainty in water availability and flowback water
This paper addresses the multi-objective optimization of water management used in the
extraction of shale gas through the hydraulic fracturing process. The optimization aims to …
extraction of shale gas through the hydraulic fracturing process. The optimization aims to …
Solving patient allocation problem during an epidemic dengue fever outbreak by mathematical modelling
JF Tsai, TL Chu, EH Cuevas Brun, MH Lin - Healthcare, 2022 - mdpi.com
Dengue fever is a mosquito-borne disease that has rapidly spread throughout the last few
decades. Most preventive mechanisms to deal with the disease focus on the eradication of …
decades. Most preventive mechanisms to deal with the disease focus on the eradication of …
A bi-objective organ transplant supply chain network with recipient priority considering carbon emission under uncertainty, a case study
As one of the most complicated and challenging networks among healthcare systems, the
organ transplant network necessitates an effective supply chain network design. In this …
organ transplant network necessitates an effective supply chain network design. In this …
Multi-objective optimization of ammonia and methanol production processes considering uncertain feedstock compositions of shale/natural gas
This paper presents a multi-objective optimization strategy for monetizing shale/natural gas
to two important products: ammonia and methanol. This study considers the uncertainty …
to two important products: ammonia and methanol. This study considers the uncertainty …
Integrating metaheuristic methods and deterministic strategies for optimizing supply chain equipment design in process engineering
In recent years, the escalating use of supply chains in process engineering has highlighted
the need for efficient regional resource distribution. Traditionally, supply chains are …
the need for efficient regional resource distribution. Traditionally, supply chains are …
Multi‐parameter optimization of performance and economic viability of Ferris wheel wind turbine for low wind speed regions in Africa
Previous studies on wind turbine and wind farm optimization for Levellized cost of energy
(LCOE) and annual energy production (AEP) have focused on horizontal axis wind turbines …
(LCOE) and annual energy production (AEP) have focused on horizontal axis wind turbines …
Use of statistic functions to consider uncertainty in multi-objective optimization methods based on metaheuristic algorithms
This paper presents a new optimization procedure to consider uncertainty in complex
optimization problems, where conventional mathematical programming strategies are not …
optimization problems, where conventional mathematical programming strategies are not …