Improved Fractal Space Filling Curves Hybrid Optimization Algorithm for Vehicle Routing Problem

Joint Authors

Yue, Yi-xiang
Zhang, Tong
Yue, Qun-xing

Source

Computational Intelligence and Neuroscience

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-06-16

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Biology

Abstract EN

Vehicle Routing Problem (VRP) is one of the key issues in optimization of modern logistics system.

In this paper, a modified VRP model with hard time window is established and a Hybrid Optimization Algorithm (HOA) based on Fractal Space Filling Curves (SFC) method and Genetic Algorithm (GA) is introduced.

By incorporating the proposed algorithm, SFC method can find an initial and feasible solution very fast; GA is used to improve the initial solution.

Thereafter, experimental software was developed and a large number of experimental computations from Solomon’s benchmark have been studied.

The experimental results demonstrate the feasibility and effectiveness of the HOA.

American Psychological Association (APA)

Yue, Yi-xiang& Zhang, Tong& Yue, Qun-xing. 2015. Improved Fractal Space Filling Curves Hybrid Optimization Algorithm for Vehicle Routing Problem. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1057691

Modern Language Association (MLA)

Yue, Yi-xiang…[et al.]. Improved Fractal Space Filling Curves Hybrid Optimization Algorithm for Vehicle Routing Problem. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1057691

American Medical Association (AMA)

Yue, Yi-xiang& Zhang, Tong& Yue, Qun-xing. Improved Fractal Space Filling Curves Hybrid Optimization Algorithm for Vehicle Routing Problem. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1057691

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1057691