Scheduling shuttle ambulance vehicles for COVID-19 quarantine cases, a multi-objective multiple 0–1 knapsack model with a novel Discrete Binary Gaining-Sharing knowledge-based optimization algorithm

Hassan, Said Ali; Agrawal, Prachi; Ganesh, Talari; Mohamed, Ali Wagdy

doi:10.1016/b978-0-12-824536-1.00034-4

Cited by 6 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hassan et al presented a proposal for scheduling shuttle ambulance vehicles assigned to COVID-19 patients with discrete binary gaining-sharing knowledge-based optimization algorithm (DBGSK) (Hassan et al. 2021a ), namely, multi-objective multiple 0–1 knapsack problem. The scheduling aims to achieve the best utilization of predetermined planning time slot where the utilization is evaluated through maximizing the number of evacuated people who might be infected with the virus to isolation hospital and maximizing the effectiveness of prioritizing patients relative to their health status.…”

Section: Binary Metaheuristic Algorithms In Applicationsmentioning

confidence: 99%

See 1 more Smart Citation

A survey on binary metaheuristic algorithms and their engineering applications

Pan

Snåšel

et al. 2022

Artif Intell Rev

View full text Add to dashboard Cite

This article presents a comprehensively state-of-the-art investigation of the engineering applications utilized by binary metaheuristic algorithms. Surveyed work is categorized based on application scenarios and solution encoding, and describes these algorithms in detail to help researchers choose appropriate methods to solve related applications. It is seen that transfer function is the main binary coding of metaheuristic algorithms, which usually adopts Sigmoid function. Among the contributions presented, there were different implementations and applications of metaheuristic algorithms, or the study of engineering applications by different objective functions such as the single- and multi-objective problems of feature selection, scheduling, layout and engineering structure optimization. The article identifies current troubles and challenges by the conducted review, and discusses that novel binary algorithm, transfer function, benchmark function, time-consuming problem and application integration are need to be resolved in future.

show abstract

Section: Binary Metaheuristic Algorithms In Applicationsmentioning

confidence: 99%

“…( 2021 ) GA & Binary PSO Binary DE & GTOA HW/SW Partitioning Fast High Low Hassan et al. ( 2021a ) DBGSK Multi-Objective KP Medium Medium Medium …”

Section: Binary Metaheuristic Algorithms In Applicationsmentioning

confidence: 99%

A survey on binary metaheuristic algorithms and their engineering applications

Pan

Snåšel

et al. 2022

Artif Intell Rev

View full text Add to dashboard Cite

show abstract

“…Gaining-Sharing Knowledge algorithm (GSK) is a nature inspired algorithm based on human behavior, and how a single individual can share knowledge and learn from the others. Introduced in [19], GSK has been applied in several optimization problems as feature selection [24][25][26], scheduling problems [27][28][29], maximal covering model [30], parameter extraction of photovoltaic models [31] and combinatorial optimization problems as knapsack [32], travelling salesman problem [33], travelling advisor problem [34], and transportation problem [35].…”

Section: Problem Formulationmentioning

confidence: 99%

UAV-Aided Data Acquisition Using Gaining-Sharing Knowledge Optimization Algorithm

Tawfik¹,

Nomer²,

Darweesh³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

Unmanned Aerial Vehicles (UAVs) provide a reliable and energyefficient solution for data collection from the Narrowband Internet of Things (NB-IoT) devices. However, the UAV's deployment optimization, including locations of the UAV's stop points, is a necessity to minimize the energy consumption of the UAV and the NB-IoT devices and also to conduct the data collection efficiently. In this regard, this paper proposes Gaining-Sharing Knowledge (GSK) algorithm for optimizing the UAV's deployment. In GSK, the number of UAV's stop points in the three-dimensional space is encapsulated into a single individual with a fixed length representing an entire deployment. The superiority of using GSK in the tackled problem is verified by simulation in seven scenarios. It provides significant results in all seven scenarios compared with other four optimization algorithms used before with the same problem. Besides, the NB-IoT is proposed as the wireless communication technology between the UAV and IoT devices.

show abstract

A Generalized Model for Scheduling Multi-Objective Multiple Shuttle Ambulance Vehicles to Evacuate COVID-19 Quarantine Cases

Hassan

Mohamed

2022

International Series in Operations Research &Amp; Management Science

View full text Add to dashboard Cite

Scheduling shuttle ambulance vehicles for COVID-19 quarantine cases, a multi-objective multiple 0–1 knapsack model with a novel Discrete Binary Gaining-Sharing knowledge-based optimization algorithm

Cited by 6 publications

References 22 publications

A survey on binary metaheuristic algorithms and their engineering applications

A survey on binary metaheuristic algorithms and their engineering applications

UAV-Aided Data Acquisition Using Gaining-Sharing Knowledge Optimization Algorithm

A Generalized Model for Scheduling Multi-Objective Multiple Shuttle Ambulance Vehicles to Evacuate COVID-19 Quarantine Cases

Contact Info

Product

Resources

About