Dealing with vehicle routing problem under multi-objective using improved genetic algorithm

Hui LIU; Yongduan SONG

doi:10.1109/CCDC.2014.6852899

Dealing with vehicle routing problem under multi-objective using improved genetic algorithm

Hui LIU
, Yongduan SONG^*

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

1 Citation (Scopus)

Abstract

This paper investigates the vehicle routing problem (VRP) under multi-objective constraints. More specifically, we consider the distance, fixed cost, time, together with risk simultaneously. To get a quicker and more accurate solution, several improvements are proposed in applying GA for optimization search. Practical test confirms the effectiveness of the proposed method. © 2014 IEEE.

Original language	English
Title of host publication	The 26th Chinese Control and Decision Conference, CCDC 2014
Publisher	IEEE
Pages	4100-4105
Number of pages	6
ISBN (Electronic)	9781479937080
ISBN (Print)	9781479937066
DOIs	https://doi.org/10.1109/CCDC.2014.6852899
Publication status	Published - 2014
Externally published	Yes

Keywords

Genetic algorithm
Multi-objective optimization
Risk
Vehicle routing problem

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10.1109/CCDC.2014.6852899

Cite this

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title = "Dealing with vehicle routing problem under multi-objective using improved genetic algorithm",

abstract = "This paper investigates the vehicle routing problem (VRP) under multi-objective constraints. More specifically, we consider the distance, fixed cost, time, together with risk simultaneously. To get a quicker and more accurate solution, several improvements are proposed in applying GA for optimization search. Practical test confirms the effectiveness of the proposed method. {\textcopyright} 2014 IEEE.",

keywords = "Genetic algorithm, Multi-objective optimization, Risk, Vehicle routing problem",

author = "Hui LIU and Yongduan SONG",

year = "2014",

doi = "10.1109/CCDC.2014.6852899",

language = "English",

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T1 - Dealing with vehicle routing problem under multi-objective using improved genetic algorithm

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AU - SONG, Yongduan

PY - 2014

Y1 - 2014

N2 - This paper investigates the vehicle routing problem (VRP) under multi-objective constraints. More specifically, we consider the distance, fixed cost, time, together with risk simultaneously. To get a quicker and more accurate solution, several improvements are proposed in applying GA for optimization search. Practical test confirms the effectiveness of the proposed method. © 2014 IEEE.

AB - This paper investigates the vehicle routing problem (VRP) under multi-objective constraints. More specifically, we consider the distance, fixed cost, time, together with risk simultaneously. To get a quicker and more accurate solution, several improvements are proposed in applying GA for optimization search. Practical test confirms the effectiveness of the proposed method. © 2014 IEEE.

KW - Genetic algorithm

KW - Multi-objective optimization

KW - Risk

KW - Vehicle routing problem

UR - https://www.scopus.com/pages/publications/84905280866

U2 - 10.1109/CCDC.2014.6852899

DO - 10.1109/CCDC.2014.6852899

M3 - Conference paper (refereed)

AN - SCOPUS:84905280866

SN - 9781479937066

SP - 4100

EP - 4105

BT - The 26th Chinese Control and Decision Conference, CCDC 2014

PB - IEEE

ER -

Dealing with vehicle routing problem under multi-objective using improved genetic algorithm

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Keywords

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