CORE
πΊπ¦Β
Β make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
research
Green Vehicle Routing Optimization Based on Carbon Emission and Multiobjective Hybrid Quantum Immune Algorithm
Authors
XH Liu
MY Shan
L Zhang
RL Zhang
Publication date
1 January 2018
Publisher
'Hindawi Limited'
Doi
Cite
Abstract
Β© 2018 Xiao-Hong Liu et al. Green Vehicle Routing Optimization Problem (GVROP) is currently a scientific research problem that takes into account the environmental impact and resource efficiency. Therefore, the optimal allocation of resources and the carbon emission in GVROP are becoming more and more important. In order to improve the delivery efficiency and reduce the cost of distribution requirements through intelligent optimization method, a novel multiobjective hybrid quantum immune algorithm based on cloud model (C-HQIA) is put forward. Simultaneously, the computational results have proved that the C-HQIA is an efficient algorithm for the GVROP. We also found that the parameter optimization of the C-HQIA is related to the types of artificial intelligence algorithms. Consequently, the GVROP and the C-HQIA have important theoretical and practical significance
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
The University of Manchester - Institutional Repository
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:pure.atira.dk:publications...
Last time updated on 11/02/2019
LJMU Research Online (Liverpool John Moores University)
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:researchonline.ljmu.ac.uk:...
Last time updated on 23/07/2018
Directory of Open Access Journals
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:doaj.org/article:dcc320bbe...
Last time updated on 04/05/2018