Objective function design in real-number-coding genetic algorithm for laser-cutting tool-path minimization

Wei Kai Hu, Kerwin Wang

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

1 Citation (Scopus)

Abstract

Laser-cutting path arrangements are constrained multimodal optimization problems. In solving these continuous-path control problems, one can improve the time efficiency and power consumption of laser-cutting process. This chapter presents a simplified objective function design methodology for real-number-coding genetic algorithm. In the cutting route determination stage, all the cutting starting and ending points are placed in a plane at the same place to facilitate the completion of routing. These objective functions can be used for path finding in practical laser-cutting assignments.

Original languageEnglish
Title of host publicationIntelligent Technologies and Engineering Systems
Pages461-466
Number of pages6
DOIs
Publication statusPublished - 2013 Aug 8
Event2012 1st International Conference on Intelligent Technologies and Engineering Systems, ICITES 2012 - Changhua, Taiwan
Duration: 2012 Dec 132012 Dec 15

Publication series

NameLecture Notes in Electrical Engineering
Volume234 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other2012 1st International Conference on Intelligent Technologies and Engineering Systems, ICITES 2012
CountryTaiwan
CityChanghua
Period12-12-1312-12-15

Fingerprint

Cutting tools
Genetic algorithms
Lasers
Electric power utilization

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

Hu, W. K., & Wang, K. (2013). Objective function design in real-number-coding genetic algorithm for laser-cutting tool-path minimization. In Intelligent Technologies and Engineering Systems (pp. 461-466). (Lecture Notes in Electrical Engineering; Vol. 234 LNEE). https://doi.org/10.1007/978-1-4614-6747-2_55
Hu, Wei Kai ; Wang, Kerwin. / Objective function design in real-number-coding genetic algorithm for laser-cutting tool-path minimization. Intelligent Technologies and Engineering Systems. 2013. pp. 461-466 (Lecture Notes in Electrical Engineering).
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Hu, WK & Wang, K 2013, Objective function design in real-number-coding genetic algorithm for laser-cutting tool-path minimization. in Intelligent Technologies and Engineering Systems. Lecture Notes in Electrical Engineering, vol. 234 LNEE, pp. 461-466, 2012 1st International Conference on Intelligent Technologies and Engineering Systems, ICITES 2012, Changhua, Taiwan, 12-12-13. https://doi.org/10.1007/978-1-4614-6747-2_55

Objective function design in real-number-coding genetic algorithm for laser-cutting tool-path minimization. / Hu, Wei Kai; Wang, Kerwin.

Intelligent Technologies and Engineering Systems. 2013. p. 461-466 (Lecture Notes in Electrical Engineering; Vol. 234 LNEE).

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

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Hu WK, Wang K. Objective function design in real-number-coding genetic algorithm for laser-cutting tool-path minimization. In Intelligent Technologies and Engineering Systems. 2013. p. 461-466. (Lecture Notes in Electrical Engineering). https://doi.org/10.1007/978-1-4614-6747-2_55