Planning the construction process of a robotic arm using a genetic algorithm

Zacharia, Paraskevi Th.; Tsirkas, Sotirios A.; Kabouridis, Georgios; Giannopoulos, Georgios I.

doi:10.1007/s00170-015-6923-7

Cited by 13 publications

(5 citation statements)

References 22 publications

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“…Mechanism developed for stochastic global search and optimization methods. In the past ten years, the genetic algorithm has developed rapidly and has become one of the powerful tools for solving global optimization problems (Zacharia et al, 2015). This paper uses the GA optimization algorithm based on swarm intelligence as the global search algorithm.…”

Section: Proxy Model Accuracy Verificationmentioning

confidence: 99%

Optimization of V-shaped regulating ball valve profile based on proxy optimization algorithm

Li,

Yu,

et al. 2023

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PurposeThe purpose of this study is to address the issue that the traditional V-shaped ball valve profile shape is limiting the flow control characteristics in a series structure and to optimize the design profile by proposing an open-hole profile.Design/methodology/approachThis paper proposes a Gaussian process regression surrogate model based on the genetic algorithm optimization of swarm intelligence, combined with the Expected Improvement point addition criterion, to optimize and correct the design profile. The flow regulation performance of the optimized V-shaped regulating ball valve is verified through a combination of numerical simulation and experiment.FindingsThe results demonstrate that the optimized V-shaped regulating ball valve has higher flow regulation accuracy and a more stable flow regulation process. After optimization, the flow characteristic curve of the spool is closer to the ideal equal percentage characteristic. The simulation results of the flow field are consistent with the experimental results.Originality/valueThe proposed method significantly reduces the optimization time, has higher efficiency and solves the problem that traditional optimization methods struggle with, which is ensuring optimal flow regulation performance. Compared to the traditional trial-and-error optimization method, the proposed method is more effective. The feasibility of the method is supported by experimental results.

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Section: Proxy Model Accuracy Verificationmentioning

confidence: 99%

Optimization of V-shaped regulating ball valve profile based on proxy optimization algorithm

Li,

Yu,

et al. 2023

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“…Data set includes seven problems with task numbers differing between 29 and 111: Buxey (29,8,7,14), Sawyer (30,8,7,14), Gunther (35,10,6,15), Kilbridge (45,9,3,11), Tonge (70, 23,3,25), Arcus1 (83,20,3,22), Arcus2 (111,25,3,27). The numbers in the parenthesis indicate the task numbers, the number of test instances contained in the relevant ALBP, minimum and maximum number of workstations of test instances in the relevant ALBP, respectively.…”

Section: Experimental Studymentioning

confidence: 99%

“…Mozdgir et al [22] proposed a DEA that aims to minimize the workload smoothness index. Zacharia et al [23] introduced a GA for solving the SALBP-2 for the assembly line of a robotic arm. Triki et al [24] presented a GA which is hybridised with a local search procedure to solve an extension of SALBP-2 named 'Task Restrictions Assembly Line Balancing Problem' of type 2.…”

Section: Introductionmentioning

confidence: 99%

Type-2 Assembly Line Balancing Using Reactive Tabu Search

Arıkan

2021

Gazi University Journal of Science

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“…CTmax değerine göre i görevinin atanabileceği en erken istasyon (Eş. (20), [32] m istasyon sayısı (j=1,…,m) n görev sayısı (i=1,…,n) Oj j istasyonu için ortalama iş yükünden yukarı sapma PR aralarında doğrudan öncelik ilişkisi bulunan görev çiftleri kümesi PTi i görevinden önce gelen görevler kümesi ST i i görevinden sonra gelen görevler kümesi t i i görevinin işlem zamanı T görev zamanları toplamı Uj j istasyonu için ortalama iş yükünden aşağı sapma x ij Eğer i görevi j istasyonuna atanırsa, 1; aksi halde, 0…”

Section: Si̇mgeler (Symbols)unclassified

“…Zacharia vd. [20], bir robot kolu montaj hattı için ikinci tip basit montaj hattı dengeleme problemini çözen bir genetik algoritma önermişlerdir. Zhang vd.…”

Section: Gi̇ri̇ş (Introduction)unclassified

İş yükü dengelemeli ikinci tip basit montaj hattı dengeleme problemi için bir tabu arama algoritması

Arıkan¹

2017

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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Planning the construction process of a robotic arm using a genetic algorithm

Cited by 13 publications

References 22 publications

Optimization of V-shaped regulating ball valve profile based on proxy optimization algorithm

Optimization of V-shaped regulating ball valve profile based on proxy optimization algorithm

Type-2 Assembly Line Balancing Using Reactive Tabu Search

İş yükü dengelemeli ikinci tip basit montaj hattı dengeleme problemi için bir tabu arama algoritması

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