Path optimization using genetic algorithm evolution

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Gantry robots are widely used in the industries for various material handling applications. The robot capable of moving in the Cartesian makes it very flexible and efficient at big or small areas. Path optimization to the robot would make it more efficient and easier automation. In this paper, genetic algorithm (GA) has been proposed to optimize the traveling sequence making the movement more efficient and economic as the total travel length is shortened.

Original languageEnglish
Title of host publicationProceeding, 2010 IEEE Student Conference on Research and Development - Engineering
Subtitle of host publicationInnovation and Beyond, SCOReD 2010
Pages252-255
Number of pages4
DOIs
Publication statusPublished - 01 Dec 2010
Event2010 8th IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010 - Kuala Lumpur, Malaysia
Duration: 13 Dec 201014 Dec 2010

Publication series

NameProceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010

Other

Other2010 8th IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010
CountryMalaysia
CityKuala Lumpur
Period13/12/1014/12/10

Fingerprint

robot
Genetic algorithms
Robots
Materials handling
automation
Automation
travel
Economics
industry
economics
Industry

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Education

Cite this

Low, C. Y., Chong, K. H., Mohamed Sahari, K. S., & Koh, J. S. P. (2010). Path optimization using genetic algorithm evolution. In Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010 (pp. 252-255). [5704011] (Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010). https://doi.org/10.1109/SCORED.2010.5704011
Low, C. Y. ; Chong, Kok Hen ; Mohamed Sahari, Khairul Salleh ; Koh, Johnny Siaw Paw. / Path optimization using genetic algorithm evolution. Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010. 2010. pp. 252-255 (Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010).
@inproceedings{2cded74f53724f7380d4e93250ca537f,
title = "Path optimization using genetic algorithm evolution",
abstract = "Gantry robots are widely used in the industries for various material handling applications. The robot capable of moving in the Cartesian makes it very flexible and efficient at big or small areas. Path optimization to the robot would make it more efficient and easier automation. In this paper, genetic algorithm (GA) has been proposed to optimize the traveling sequence making the movement more efficient and economic as the total travel length is shortened.",
author = "Low, {C. Y.} and Chong, {Kok Hen} and {Mohamed Sahari}, {Khairul Salleh} and Koh, {Johnny Siaw Paw}",
year = "2010",
month = "12",
day = "1",
doi = "10.1109/SCORED.2010.5704011",
language = "English",
isbn = "9781424486489",
series = "Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010",
pages = "252--255",
booktitle = "Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering",

}

Low, CY, Chong, KH, Mohamed Sahari, KS & Koh, JSP 2010, Path optimization using genetic algorithm evolution. in Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010., 5704011, Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010, pp. 252-255, 2010 8th IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010, Kuala Lumpur, Malaysia, 13/12/10. https://doi.org/10.1109/SCORED.2010.5704011

Path optimization using genetic algorithm evolution. / Low, C. Y.; Chong, Kok Hen; Mohamed Sahari, Khairul Salleh; Koh, Johnny Siaw Paw.

Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010. 2010. p. 252-255 5704011 (Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Path optimization using genetic algorithm evolution

AU - Low, C. Y.

AU - Chong, Kok Hen

AU - Mohamed Sahari, Khairul Salleh

AU - Koh, Johnny Siaw Paw

PY - 2010/12/1

Y1 - 2010/12/1

N2 - Gantry robots are widely used in the industries for various material handling applications. The robot capable of moving in the Cartesian makes it very flexible and efficient at big or small areas. Path optimization to the robot would make it more efficient and easier automation. In this paper, genetic algorithm (GA) has been proposed to optimize the traveling sequence making the movement more efficient and economic as the total travel length is shortened.

AB - Gantry robots are widely used in the industries for various material handling applications. The robot capable of moving in the Cartesian makes it very flexible and efficient at big or small areas. Path optimization to the robot would make it more efficient and easier automation. In this paper, genetic algorithm (GA) has been proposed to optimize the traveling sequence making the movement more efficient and economic as the total travel length is shortened.

UR - http://www.scopus.com/inward/record.url?scp=79951963224&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79951963224&partnerID=8YFLogxK

U2 - 10.1109/SCORED.2010.5704011

DO - 10.1109/SCORED.2010.5704011

M3 - Conference contribution

SN - 9781424486489

T3 - Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010

SP - 252

EP - 255

BT - Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering

ER -

Low CY, Chong KH, Mohamed Sahari KS, Koh JSP. Path optimization using genetic algorithm evolution. In Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010. 2010. p. 252-255. 5704011. (Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010). https://doi.org/10.1109/SCORED.2010.5704011