An Improved Cuckoo Search for a Patient Transportation Problem with Consideration of Reducing Transport Emissions

Many government agencies and business organizations have realized that it is necessary to consider not only the economic cost but also the road transport emissions when they determine the transport policies and operations. In this study, a patient transportation problem with the aim of reducing tran...

Full description

Saved in:
Bibliographic Details
Published in:Sustainability 2018-03, Vol.10 (3), p.793
Main Authors: Xiao, Liyang, Dridi, Mahjoub, Hajjam El Hassani, Amir, Fei, Hongying, Lin, Wanlong
Format: Article
Language:English
Subjects:
Air pollution
Algorithms
Computer applications
Customer services
Emergency preparedness
Emissions
Government agencies
Heuristic
Hospitals
Optimization
Outdoor air quality
Problem solving
Rehabilitation
Road transportation
Route selection
Search algorithms
Sustainability
Transportation
Transportation industry
Transportation problem
Transportation services
Vehicles
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Many government agencies and business organizations have realized that it is necessary to consider not only the economic cost but also the road transport emissions when they determine the transport policies and operations. In this study, a patient transportation problem with the aim of reducing transport emissions has been formulated by implementing CVRP model. In order to determine the routes of patient transportation with optimized emissions for targeted hospital, an improved Cuckoo Search (ICS) algorithm is proposed. In this study, a ‘split’ procedure has been implemented to simplify the individual’s representation. A new category of cuckoos has been introduced to improve the ICS’s search ability. Two heuristics have been applied to improve the quality of initial population. A local search mechanism has been embedded in the search procedure to improve the quality of solutions obtained at the end of each iteration. The computational results were encouraging and demonstrated the effectiveness of the proposed solution method.
ISSN:2071-1050
2071-1050
DOI:10.3390/su10030793