![](/images/graphics-bg.png)
A Grasshopper Optimization-Based Approach for Task Assignment in Cloud Logistics
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-04
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
A framework for the algorithm-based CL platform is established, based on which, the operational mode of it is described in detail.
An integrated logistics task assignment model is built to optimally match logistics service resources and task of large scale in the algorithm-based CL.
Particularly, an improved grasshopper optimization-based bitarget optimization algorithm (GROBO) is proposed to solve the biobjective programming model for service matching in CL.
The case of Linyi small commodity logistics is taken as an application.
Simulation results show that the proposed GROBO provides better solutions regarding to searching efficiency and stability in solving the model.
American Psychological Association (APA)
Xu, Lan& Tu, Paul& Zhang, Yuting. 2020. A Grasshopper Optimization-Based Approach for Task Assignment in Cloud Logistics. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1194366
Modern Language Association (MLA)
Xu, Lan…[et al.]. A Grasshopper Optimization-Based Approach for Task Assignment in Cloud Logistics. Mathematical Problems in Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1194366
American Medical Association (AMA)
Xu, Lan& Tu, Paul& Zhang, Yuting. A Grasshopper Optimization-Based Approach for Task Assignment in Cloud Logistics. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1194366
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194366