Two-stage heuristic algorithm for vehicle-drone collaborative delivery and pickup based on medical supplies resource allocation

Han, Yuhang; Zhang, Miaohan; Nan, Pan; Cao, Jianing; Huang, Qi; Ye, Xiao; He, Zhaolei

doi:10.1016/j.jksuci.2023.101811

Cited by 3 publications

(1 citation statement)

References 53 publications

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“…For example, the Salp Swarm Algorithm (SSA), which is based on the swarming behavior of salps in the ocean, is one of the new bio-inspired optimization techniques that have demonstrated potential in different optimization problems [79][80][81][82][83]. Its mode of operation, imitating the navigation pattern of the salp chain, provides an equilibrium between the stages of exploration and exploitation, and so it is an interesting candidate for UGV path planning [84][85][86][87][88][89][90][91][92][93][94][95][96][97][98][99][100]. This article focuses on the use of SSA in path planning of UGVs.…”

Section: Introductionmentioning

confidence: 99%

Path planning for a UGV using Salp Swarm Algorithm

AlShabi,

Ballous,

Bou Nassif

et al. 2024

Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2024

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The paper researches a utilization of the Salp Swarm Algorithm (SSA), a bio-mimetic optimization technique, to improve path planning in Unmanned Ground Vehicles (UGVs). Because of the crucial role of the efficient and reliable path planning in the implementation of UGVs in such sectors as military, rescue operations, and agriculture, there is a need for algorithms that are capable of navigating complex environments. The concept of SSA, based on the natural swarming behavior of salps, represents a very promising approach that is characterized by the exploration and exploitation properties of the algorithm. This study evaluates the performance of the SSA relative to existing particle swarm optimization (PSO), in terms of path optimality, computational efficiency, and dynamic obstacle adaptability, through a number of simulated environments. Results show that the SSA has the potential to compete with the traditional algorithms in path efficiency and computational load. However, PSO shows slight superiority results compared to SSA. This study highlights the potency of bio-inspired algorithms, specifically the SSA, in enhancing the field of autonomous navigation for UGVs. It introduces new possibilities of practical application of SSA in real-life scenarios, demonstrating its scalability and resilience. The findings of this study make a contribution to the general discussion on the improvement of planning of autonomous routes and provide a possible way for more sustainable and effective UGV activities.

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Section: Introductionmentioning

confidence: 99%

Path planning for a UGV using Salp Swarm Algorithm

AlShabi,

Ballous,

Bou Nassif

et al. 2024

Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2024

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A comprehensive methodology combining machine learning and unified robust stochastic programming for medical supply chain viability

Yılmaz,

Guan,

Yılmaz

et al. 2025

Omega

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Analysis of The Reuse of Tires in Synthetic Grass in Manaus From the Perspective of The Reverse Logistics Process

Barbosa,

Tino,

Martins

et al. 2024

RGSA

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Objective: This study aimed to analyze the reuse of tires by a company that produces synthetic grass in Manaus from the perspective of the reverse logistics process. Methods: The scientific-technological method was used to build the theoretical architecture and generate empirical findings, consisting of four stages: a) elaboration of guiding research questions, b) data collection from the company's managers and employees through a script interview and an observation script, c) organization of data based on semantic analysis, so that each stage of the logistics process, its operations and purpose could be understood, and d) generation of answers to guiding questions, seeking to know what happens, how it happens and why it happens. Results and discussion: The results showed that 1) the process of reusing the collected tires is made up of a few simple steps, 2) the reverse logistics planning procedures for the materials to be recycled include the objectives of the company and its suppliers, 3) the management procedures for the company's employees when executing the reverse logistics process take into account how much is known about the production and logistics process and 4) the control procedures for the objectives and goals to be achieved are based on indicators and metrics connected with the synergy of the team of collaborators. Research implications: When the objectives and goals of organizations involved in the reverse logistics process are integrated, the possibility of success of the ventures increases considerably. Furthermore, it is necessary that the planning and execution of the reverse logistics process is built based on the stages of the management process. Originality / Value: This study shows that innovation and creativity can reuse practically all materials that are usually discarded. Tires are a problem for almost all urban centers, but they have been transformed into exquisite synthetic grass for the most popular sport in Brazil, soccer. The company created other products aimed at home and building decoration.

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Two-stage heuristic algorithm for vehicle-drone collaborative delivery and pickup based on medical supplies resource allocation

Cited by 3 publications

References 53 publications

Path planning for a UGV using Salp Swarm Algorithm

Path planning for a UGV using Salp Swarm Algorithm

A comprehensive methodology combining machine learning and unified robust stochastic programming for medical supply chain viability

Analysis of The Reuse of Tires in Synthetic Grass in Manaus From the Perspective of The Reverse Logistics Process

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