Cited By
View all- Zhang ZSun XYang XXue Q(2024)The Automatic Algorithm of Optimizing the Position of Structured Light SensorsApplied Sciences10.3390/app1405171914:5(1719)Online publication date: 20-Feb-2024
Research on Optimization of Cigarette Delivery Rout Based on Differential Evolution Algorithm
Article No.: 270, Pages 1 - 5
Abstract
This paper presents a differential evolutionary algorithm to solve the tobacco distribution problem. On the basis of inheriting many advantages of the traditional genetic algorithm to solve the path optimization problem, the differential evolutionary algorithm has stronger robustness and more significant approximation effect. Due to the time and precision requirements of tobacco distribution problem, differential evolution algorithm has significant advantages in solving this problem.
References
[1]
J. T. Qi, “Research on vehicle Routing problem of urban Agricultural Products cold chain Logistics.” Zhejiang Sci-Tech University, 2016.
[2]
H. R. Zhou, W. S. Tang, “Multiple travel agent problem optimization based on differential evolutionary algorithm.” Systems engineering theory and practice, vol. 30, no. 8, pp. 1471-1476, 2010.
[3]
M. X. Lang, “Optimal Scheduling Model and Algorithm for Distribution Vehicles.” Beijing: Electronic Industry Press, pp. 146-202, 2009.
[4]
X. P. Wang, L. M. Cao, “Theory of Genetic algorithm and implementation of application software.” Xi ‘an: Xi ‘an Jiaotong University Press, 2002.
[5]
H. C. Hu, “Research and Application of Tobacco Logistics Distribution Vehicle Line Optimization”. logistics Technology, no. 21, pp. 214-217, 2012.
[6]
X. Deng, “Research on the Problem of vehicle routing in multi-vehicle Field based on genetic Algorithm”. Chongqing: Chongqing University, 2007.
[7]
H. M. Zhang, “Research and Application of Tobacco Business System Logistics Line Optimization”. Chinese Journal of Tobacco, no. 3, pp. 103-109, 2018.
[8]
Y. L. Fu, M. Li. “Comprehensive Optimization Model and Method of Tobacco Logistics distribution Network,” China Foreign Enterprise, no. 31, pp. 205-215, 2013.
[9]
Z. L. Wang, J. Li, “K-means Algorithm based on distance and Weight Improvement”. Air Force Engineering University, 2020.
[10]
J. Q. Hu, “Research on calculation Method of urban rail Transit Network Transport Capacity”. Beijing Jiaotong University, 2014.
[11]
E. R. Petersen, Railway Modeling: Part 1. Predicting of Put-through Time.
[12]
L. Wang, “Study on the Robustness of Topological structure of China railway Geographic Network based on relative entropy”. Central South University, 2014.
Recommendations
Research of multi population differential evolution algorithm
ICNC'09: Proceedings of the 5th international conference on Natural computationThe standard differential evolution is easy to fall into premature convergence; so for solving the problem, the paper presented a Multi Population Differential Evolution Algorithm (MPDE) which was based on simulating the developing history of human ...
Two-stage update biogeography-based optimization using differential evolution algorithm (DBBO)
The present paper proposes a new stochastic optimization algorithm as a hybridization of a relatively recent stochastic optimization algorithm, called biogeography-based optimization (BBO) with the differential evolution (DE) algorithm. This combination ...
A concurrent-hybrid evolutionary algorithms with multi-child differential evolution and Guotao algorithm based on cultural algorithm framework
ISICA'10: Proceedings of the 5th international conference on Advances in computation and intelligenceThis paper proposes a multi-child differential evolutionary algorithm (MCDE), and forms a concurrent-hybrid evolutionary algorithm by integrating the MCDE algorithm and Guotao algorithm based on variable searching subspace(VSSGT) into the culture ...
Comments
Information & Contributors
Information
Published In
May 2021
2053 pages
ISBN:9781450390200
DOI:10.1145/3469213
Copyright © 2021 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 18 August 2021
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
ICAIIS 2021
ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems
May 28 - 30, 2021
Chongqing, China
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 23Total Downloads
- Downloads (Last 12 months)2
- Downloads (Last 6 weeks)0
Reflects downloads up to 08 Feb 2025
Other Metrics
Citations
Cited By
View all- Zhang ZSun XYang XXue Q(2024)The Automatic Algorithm of Optimizing the Position of Structured Light SensorsApplied Sciences10.3390/app1405171914:5(1719)Online publication date: 20-Feb-2024
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format