The artificial tree (AT) algorithm

QQ Li; Kai Song; Zhicheng He; Quan Bing Eric Li; Aiguo Cheng; Tao Chen

doi:10.1016/j.engappai.2017.07.025

The artificial tree (AT) algorithm

QQ Li, Kai Song, Zhicheng He, Quan Bing Eric Li, Aiguo Cheng, Tao Chen

SCEDT Engineering

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

330 Downloads (Pure)

Abstract

Bionic intelligence algorithms have many advantagescompared withtraditional optimization algorithms. In this paper, inspired by thegrowth lawof trees, a new bionic algorithm,named artificialtree (AT) algorithmis developed. In the proposedAT, the branch position isconsidered as the design variable.In addition, the branch isthe solution, and the branchthicknessistheindicatorof the solution. Thecomputingprocess of ATis achieved by simulating the transport of organic mattersand the update of tree branches. Thecomparative analysis using thirty typical benchmarkproblemsbetween ATalgorithm and some well-known bionic intelligent methodsis alsoperformed.Based onnumerical results, AT is foundto beveryeffective in dealing withvariousproblems.

Original language	English
Pages (from-to)	99-110
Number of pages	12
Journal	Engineering Applications of Artificial Intelligence
Volume	65
Early online date	17 Aug 2017
DOIs	https://doi.org/10.1016/j.engappai.2017.07.025
Publication status	Published - 31 Oct 2017

Access to Document

10.1016/j.engappai.2017.07.025

Full textAccepted author manuscript, 1.13 MBLicence: CC BY-NC-ND

Cite this

@article{d062016e95414f1da8456a2f44ccb18d,

title = "The artificial tree (AT) algorithm",

abstract = "Bionic intelligence algorithms have many advantagescompared withtraditional optimization algorithms. In this paper, inspired by thegrowth lawof trees, a new bionic algorithm,named artificialtree (AT) algorithmis developed. In the proposedAT, the branch position isconsidered as the design variable.In addition, the branch isthe solution, and the branchthicknessistheindicatorof the solution. Thecomputingprocess of ATis achieved by simulating the transport of organic mattersand the update of tree branches. Thecomparative analysis using thirty typical benchmarkproblemsbetween ATalgorithm and some well-known bionic intelligent methodsis alsoperformed.Based onnumerical results, AT is foundto beveryeffective in dealing withvariousproblems.",

author = "QQ Li and Kai Song and Zhicheng He and Li, {Quan Bing Eric} and Aiguo Cheng and Tao Chen",

year = "2017",

month = oct,

day = "31",

doi = "10.1016/j.engappai.2017.07.025",

language = "English",

volume = "65",

pages = "99--110",

journal = "Engineering Applications of Artificial Intelligence",

issn = "0952-1976",

publisher = "Elsevier",

}

TY - JOUR

T1 - The artificial tree (AT) algorithm

AU - Li, QQ

AU - Song, Kai

AU - He, Zhicheng

AU - Li, Quan Bing Eric

AU - Cheng, Aiguo

AU - Chen, Tao

PY - 2017/10/31

Y1 - 2017/10/31

N2 - Bionic intelligence algorithms have many advantagescompared withtraditional optimization algorithms. In this paper, inspired by thegrowth lawof trees, a new bionic algorithm,named artificialtree (AT) algorithmis developed. In the proposedAT, the branch position isconsidered as the design variable.In addition, the branch isthe solution, and the branchthicknessistheindicatorof the solution. Thecomputingprocess of ATis achieved by simulating the transport of organic mattersand the update of tree branches. Thecomparative analysis using thirty typical benchmarkproblemsbetween ATalgorithm and some well-known bionic intelligent methodsis alsoperformed.Based onnumerical results, AT is foundto beveryeffective in dealing withvariousproblems.

AB - Bionic intelligence algorithms have many advantagescompared withtraditional optimization algorithms. In this paper, inspired by thegrowth lawof trees, a new bionic algorithm,named artificialtree (AT) algorithmis developed. In the proposedAT, the branch position isconsidered as the design variable.In addition, the branch isthe solution, and the branchthicknessistheindicatorof the solution. Thecomputingprocess of ATis achieved by simulating the transport of organic mattersand the update of tree branches. Thecomparative analysis using thirty typical benchmarkproblemsbetween ATalgorithm and some well-known bionic intelligent methodsis alsoperformed.Based onnumerical results, AT is foundto beveryeffective in dealing withvariousproblems.

U2 - 10.1016/j.engappai.2017.07.025

DO - 10.1016/j.engappai.2017.07.025

M3 - Article

SN - 0952-1976

VL - 65

SP - 99

EP - 110

JO - Engineering Applications of Artificial Intelligence

JF - Engineering Applications of Artificial Intelligence

ER -

The artificial tree (AT) algorithm

Abstract

Access to Document

Fingerprint

Cite this