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

Yi Xiang Yue; Tong Zhang; Qun Xing Yue

doi:10.1155/2015/375163

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

Yi Xiang Yue^*
, Tong Zhang
, Qun Xing Yue

^*Corresponding author for this work

School of Aeronautic Science and Engineering

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

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.

Original language	English
Article number	375163
Journal	Computational Intelligence and Neuroscience
Volume	2015
DOIs	https://doi.org/10.1155/2015/375163
State	Published - 2015

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title = "Improved Fractal Space Filling Curves Hybrid Optimization Algorithm for Vehicle Routing Problem",

abstract = "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.",

author = "Yue, \{Yi Xiang\} and Tong Zhang and Yue, \{Qun Xing\}",

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AU - Zhang, Tong

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N2 - 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.

AB - 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.

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M3 - 文章

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JO - Computational Intelligence and Neuroscience

JF - Computational Intelligence and Neuroscience

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ER -

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

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