A Three-Layered Multifactorial Evolutionary Algorithm with Parallelization for Large-Scale Engraving Path Planning

Today, although laser engraving technology is widely used in 2D image engraving, when the image is larger and more complicated, most existing algorithms for engraving path planning have a huge computational burden and reduced engraving efficiency. Accordingly, this article addresses the trajectory o...

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Veröffentlicht in:Electronics (Basel) Jg. 11; H. 11; S. 1712
Hauptverfasser: Liang, Antian, Yang, Hanshi, Sun, Liming, Sun, Meng
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.06.2022
Schlagworte:
Computational efficiency
Efficiency
Engraving
Evolutionary algorithms
Genetic algorithms
Lasers
Methods
Optimization
Parallel processing
Trajectory optimization
Trajectory planning
Traveling salesman problem
ISSN:2079-9292, 2079-9292
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Abstract Today, although laser engraving technology is widely used in 2D image engraving, when the image is larger and more complicated, most existing algorithms for engraving path planning have a huge computational burden and reduced engraving efficiency. Accordingly, this article addresses the trajectory optimization problem in large-scale image engraving. First, we formulate the problem as an improved model based on the large-scale traveling salesman problem (TSP). Then, we propose a three-layered algorithm called 3L-MFEA-MP, structured as follows: an upper layer, the genetic algorithm (GA); a middle layer, the GA; and a bottom layer, the parallel multifactorial evolutionary algorithm. Experiments on four classic large-scale TSP datasets show that our algorithm exhibits superior performance in terms of the path length and engraving time compared with other algorithms. In particular, compared with the single-thread algorithm, the proposed parallel algorithm reduced the engraving time by 80%. Moreover, the engraving machine experiment demonstrated that the engraving time of our algorithm on mona-lisa 100K, vangogh 120K, and venus 140K was approximately one tenth that of the traditional dot engraving method. The results indicate that the proposed algorithm can reduce the computational burden and improve engraving efficiency in engraving path planning.
AbstractList Today, although laser engraving technology is widely used in 2D image engraving, when the image is larger and more complicated, most existing algorithms for engraving path planning have a huge computational burden and reduced engraving efficiency. Accordingly, this article addresses the trajectory optimization problem in large-scale image engraving. First, we formulate the problem as an improved model based on the large-scale traveling salesman problem (TSP). Then, we propose a three-layered algorithm called 3L-MFEA-MP, structured as follows: an upper layer, the genetic algorithm (GA); a middle layer, the GA; and a bottom layer, the parallel multifactorial evolutionary algorithm. Experiments on four classic large-scale TSP datasets show that our algorithm exhibits superior performance in terms of the path length and engraving time compared with other algorithms. In particular, compared with the single-thread algorithm, the proposed parallel algorithm reduced the engraving time by 80%. Moreover, the engraving machine experiment demonstrated that the engraving time of our algorithm on mona-lisa 100K, vangogh 120K, and venus 140K was approximately one tenth that of the traditional dot engraving method. The results indicate that the proposed algorithm can reduce the computational burden and improve engraving efficiency in engraving path planning.
Author Yang, Hanshi
Sun, Meng
Liang, Antian
Sun, Liming
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Cites_doi 10.1109/ACCESS.2019.2897580
10.1016/S1007-0214(07)70068-8
10.1007/s00170-019-03569-6
10.1109/SSCI44817.2019.9002754
10.1109/WIFS.2017.8267665
10.1007/978-3-030-37070-1_66
10.1142/9789813200449_0042
10.1007/s12559-016-9395-7
10.3390/math9080864
10.1007/s12532-009-0004-6
10.1109/TEVC.2015.2458037
10.1016/j.swevo.2017.03.001
10.1371/journal.pone.0126141
10.1109/CEC.2013.6557712
10.1109/TIE.2019.2942564
10.1109/IBCAST.2019.8667138
10.1016/j.ijleo.2019.163995
10.1109/TETCI.2017.2769104
10.1109/CarpathianCC.2019.8766050
10.1109/SSCI.2016.7850038
10.1109/MCI.2020.3039066
10.5772/intechopen.69928
ContentType Journal Article
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References Beheshti (ref_7) 2013; 5
Ding (ref_15) 2007; 12
Yang (ref_11) 2020; 211
ref_13
ref_12
ref_10
Gupta (ref_24) 2017; 2
Nini (ref_6) 2010; 46
ref_19
ref_18
Sundaria (ref_2) 2019; 67
Hajad (ref_14) 2019; 103
Gupta (ref_28) 2016; 20
Helsgaun (ref_17) 2009; 1
Ruan (ref_5) 2007; 6
ref_25
ref_22
ref_21
ref_20
Deng (ref_16) 2019; 7
ref_1
Peng (ref_8) 2017; 35
ref_3
ref_29
Ong (ref_23) 2016; 8
ref_27
ref_9
ref_4
Tan (ref_26) 2021; 16
References_xml – ident: ref_3
– volume: 7
  start-page: 20281
  year: 2019
  ident: ref_16
  article-title: An improved ant colony optimization algorithm based on hybrid strategies for scheduling problem
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2019.2897580
– volume: 12
  start-page: 459
  year: 2007
  ident: ref_15
  article-title: Two-level genetic algorithm for clustered traveling salesman problem with application in large-scale TSPs
  publication-title: Tsinghua Sci. Technol.
  doi: 10.1016/S1007-0214(07)70068-8
– volume: 103
  start-page: 781
  year: 2019
  ident: ref_14
  article-title: Laser cutting path optimization using simulated annealing with an adaptive large neighborhood search
  publication-title: Int. J. Adv. Manuf. Technol.
  doi: 10.1007/s00170-019-03569-6
– ident: ref_21
  doi: 10.1109/SSCI44817.2019.9002754
– ident: ref_9
  doi: 10.1109/WIFS.2017.8267665
– ident: ref_1
  doi: 10.1007/978-3-030-37070-1_66
– volume: 46
  start-page: 234
  year: 2010
  ident: ref_6
  article-title: Optimization of laser cutting path based on local search and genetic algorithm
  publication-title: Comput. Eng. Appl.
– ident: ref_19
  doi: 10.1142/9789813200449_0042
– volume: 8
  start-page: 125
  year: 2016
  ident: ref_23
  article-title: Evolutionary multitasking: A computer science view of cognitive multitasking
  publication-title: Cogn. Comput.
  doi: 10.1007/s12559-016-9395-7
– volume: 5
  start-page: 1
  year: 2013
  ident: ref_7
  article-title: A review of population-based meta-heuristic algorithms
  publication-title: Int. J. Adv. Soft Comput. Appl.
– ident: ref_25
  doi: 10.3390/math9080864
– volume: 1
  start-page: 119
  year: 2009
  ident: ref_17
  article-title: General k-opt submoves for the Lin–Kernighan TSP heuristic
  publication-title: Math. Program. Comput.
  doi: 10.1007/s12532-009-0004-6
– volume: 20
  start-page: 343
  year: 2016
  ident: ref_28
  article-title: Multifactorial Evolution: Toward Evolutionary Multitasking
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2015.2458037
– volume: 6
  start-page: 1114
  year: 2007
  ident: ref_5
  article-title: A New Tour Construction Algorism and its Application in Laser Carving Path Control
  publication-title: J. Image Graph.
– ident: ref_4
– volume: 35
  start-page: 65
  year: 2017
  ident: ref_8
  article-title: Large-scale cooperative co-evolution using niching-based multi-modal optimization and adaptive fast clustering
  publication-title: Swarm Evol. Comput.
  doi: 10.1016/j.swevo.2017.03.001
– ident: ref_13
  doi: 10.1371/journal.pone.0126141
– ident: ref_27
– ident: ref_18
  doi: 10.1109/CEC.2013.6557712
– volume: 67
  start-page: 7354
  year: 2019
  ident: ref_2
  article-title: Effect of laser cutting on core losses in electrical machines—Measurements and modeling
  publication-title: IEEE Trans. Ind. Electron.
  doi: 10.1109/TIE.2019.2942564
– ident: ref_12
– ident: ref_20
  doi: 10.1109/IBCAST.2019.8667138
– volume: 211
  start-page: 163995
  year: 2020
  ident: ref_11
  article-title: Research on a new laser path of laser shock process
  publication-title: Optik
  doi: 10.1016/j.ijleo.2019.163995
– volume: 2
  start-page: 51
  year: 2017
  ident: ref_24
  article-title: Insights on transfer optimization: Because experience is the best teacher
  publication-title: IEEE Trans. Emerg. Top. Comput. Intell.
  doi: 10.1109/TETCI.2017.2769104
– ident: ref_10
  doi: 10.1109/CarpathianCC.2019.8766050
– ident: ref_22
  doi: 10.1109/SSCI.2016.7850038
– volume: 16
  start-page: 22
  year: 2021
  ident: ref_26
  article-title: Evolutionary transfer optimization-a new frontier in evolutionary computation research
  publication-title: IEEE Comput. Intell. Mag.
  doi: 10.1109/MCI.2020.3039066
– ident: ref_29
  doi: 10.5772/intechopen.69928
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Snippet Today, although laser engraving technology is widely used in 2D image engraving, when the image is larger and more complicated, most existing algorithms for...
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SubjectTerms Computational efficiency
Efficiency
Engraving
Evolutionary algorithms
Genetic algorithms
Lasers
Methods
Optimization
Parallel processing
Trajectory optimization
Trajectory planning
Traveling salesman problem
Title A Three-Layered Multifactorial Evolutionary Algorithm with Parallelization for Large-Scale Engraving Path Planning
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