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2025 | OriginalPaper | Buchkapitel

Development of the Bees Algorithm Toolkit for Optimisation in LabVIEW

verfasst von : Murat Sahin, D. T. Pham

Erschienen in: Intelligent Engineering Optimisation with the Bees Algorithm

Verlag: Springer Nature Switzerland

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Abstract

This chapter presents a Bees Algorithm (BA) Optimisation Toolkit developed in LabVIEW. The BA is an effective optimisation algorithm that mimics the nectar-foraging behaviour of honey bees. LabVIEW is a powerful program for data acquisition and control applications that is very popular in industry. There are tools within the scope of optimisation within LabVIEW, but there is no toolkit for the BA. In this chapter, the preparation of the BA in LabVIEW is explained step by step. The toolkit has two parts. Optimisation can be performed on standard continuous test functions with the first part, and new functions and problems can be defined and solved. It has been observed that the minimum values of complex continuous functions can be reached quickly in experimental studies. With the second part, combinatorial optimisation can be conducted on travelling salesman problems (TSPs), and new TSPs can be defined and solved. It has been shown experimentally that minimum-cost solutions can be found in a small number of iterations using this toolkit.

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Vorheriges Kapitel Local Optimal Issue in Bees Algorithm: Markov Chain Analysis and Integration with Dynamic Particle Swarm Optimisation Algorithm

Nächstes Kapitel Geometrical Optimisation of Smart Sandwich Plates Using the Bees Algorithm

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Rao SS (2009) Engineering optimization: theory and practice. John Wiley & Sons

Manea D, Titan E, Serban RR, Mihai M (2019) Statistical applications of optimization methods and mathematical programming. Proc Int Conf Appl Stat 1(1):312–328CrossRef

Pham DT, Ghanbarzadeh A, Koc E, Otri S, Rahim S, Zaidi M (2005) Bee algorithm—a novel approach to function optimisation. Cardiff University, The Manufacturing Engineering Centre

Zarchi M, Attaran B (2017) Performance improvement of an active vibration absorber subsystem for an aircraft model using a Bees algorithm based on multi-objective intelligent optimization. Eng Optim 49(11):1905–1921CrossRef

Nafchi AM, Moradi A, Ghanbarzadeh A, Yaghoubi S, Moradi M (2012) An improved bees algorithm for solving optimization mechanical problems. In: 20th Annual international conference on mechanical engineering-ISME, School of Mechanical Engineering, Shiraz University, Shiraz, Iran

Shouran M, Anayi F, Packianather M (2021) Design of sliding mode control optimised by the Bees algorithm for LFC in the Great Britain power system. Mater Today

Acar O, Kalyoncu M, Hassan A (2018) The Bees algorithm for design optimization of a gripper mechanism. J Selcuk-Technic Spec. Issue 69–86

Onder A, Incebay O, Sen MA, Yapici R, Kalyoncu M (2021) Heuristic optimization of impeller sidewall gaps based on the Bees algorithm for a centrifugal blood pump by CFD. Int J Artif Organs 44(10):765–772CrossRef

Alzaqebah M, Jawarneh S, Sarim HM, Abdullah S (2018) Bees algorithm for vehicle routing problems with time windows. Int J Mach Learn Comput 8(3):236–240CrossRef

10.

Braiwish NY, Anayi FJ, Fahmy AA, Eldukhri EE (2014) Design optimisation of permanent magnet synchronous motor for electric vehicles traction using the Bees algorithm. In: 49th International universities power engineering conference (UPEC), Cluj-Napoca, Romania. (2014)

11.

Ismail AH, Hartono N, Zeybek S, Pham DT (2020) Using the Bees algorithm to solve combinatorial optimisation problems for TSPLIB. IOP Conf Ser: Mater Sci Eng 847:1–9

12.

Koc E (2010) Bees algorithm: theory, improvements and applications. PhD Thesis, Cardiff University, UK

13.

Heris MK (2015) Bees algorithm (BeA) in MATLAB. https://yarpiz.com/315/ypea115-bees-algorithm, Yarpiz

14.

Baronti L (2020) Bees algorithm—a python implementation. https://pypi.org/project/bees-algorithm/

15.

Colak I, Bulbul HI, Sahin M (2013) System identification and control of a wound rotor AC induction machine for wind turbine. In: International conference on renewable energy research and applications (ICRERA), Madrid, Spain, pp 1053–1057

16.

Colak I, Bulbul HI, Sagiroglu S, Sahin M (2012) Modeling a permanent magnet synchronous generator used in wind turbine and the realization of voltage control on the model with artificial neural networks. In: International conference on renewable energy research and applications (ICRERA), Nagasaki, Japan, pp 1–6

17.

Sheoran Y, Kumar V, Rana KPS, Mishra P, Kumar J, Nair SS (2015) Development of backtracking search optimization algorithm toolkit in LabVIEW™. Procedia Comput Sci 57:241–248CrossRef

18.

LabVIEW optimization Vıs—https://www.ni.com/docs/en-US/bundle/LabVIEW-2021/page/gmath/optimization_vis.html. 25 Apr 2022

19.

AMA toolkit for LabVIEW—https://www.ni.com/en-gb/support/downloads/tools-network/download.ama-toolkit-for-LabVIEW.html. 25 Apr 2022

20.

Aria M (2013) Educational simulator for teaching of particle swarm optimization in LabVIEW. TELEKONTRAN 1(1):1–15

21.

Thakur KS, Kumar V, Rana KPS, Mishra P, Kumar J, Nair SS (2015) Development of Bat algorithm toolkit in LabVIEW. In: International conference on computing, communication and automation (ICCCA2015), pp 5–10

22.

Gupta S, Kumar V, Rana KPS, Mishra P, Kumar J (2016) Development of Ant lion optimizer toolkit in LabVIEW. In: 1st International conference on innovation and challenges in cyber security (ICICCS 2016), pp 251–256

23.

Gupta S, Rana KPS, Kumar V, Mishra P, Kumar J, Nair SS (2015) Development of a grey wolf optimizer toolkit in LabVIEW. In: 1st International conference on futuristic trend in computational analysis and knowledge management (ABLAZE 2015), pp 107–113

24.

Pham DT, Ghanbarzadeh A, Koc E, Otri S, Rahim S, Zaidi M (2006) The Bees algorithm—a novel tool for complex optimisation problems. In: Pham DT, Eldukhri EE, Soroka AJ (eds) Proceedings of the 2nd Virtual international conference on intelligent production machines and systems, Elsevier (Oxford), pp 454–460

25.

Pham DT, Castellani M (2009) The Bees algorithm: modelling foraging behaviour to solve continuous optimization problems. Proc Inst Mech Eng C J Mech Eng Sci 223(12):2919–2938CrossRef

26.

Baronti L, Castellani M, Pham DT (2020) An analysis of the search mechanisms of the bees algorithm. Swarm Evol Comput 59:100746CrossRef

27.

Web: virtual library of simulation experiments, optimization test problems. https://www.sfu.ca/~ssurjano/optimization.html. 18 Mar 2022

28.

Wasim AH, Shahnorbanun S, Siti NH (2017) The variants of the Bees algorithm (BA): a survey. Artif Intell Rev 47:67–121CrossRef

29.

Du X, Ma Y, Wei X, Jegatheesan V (2020) Optimal parameter estimation in activated sludge process based wastewater treatment practice. Water 12(9):2604CrossRef

30.

Liang YC, Cuevas Juarez JRA (2020) Self-adaptive virus optimization algorithm for continuous optimization problems. Soft Comput 24(17):13147–13166

31.

Tansui D, Thammano, A (2017) Nature-inspired optimization method: hydrozoan algorithm for solving continuous problems. In: 2017 18th IEEE/ACIS International conference on software engineering, artificial intelligence, networking and parallel/distributed computing (SNPD), pp 23–28

32.

Tansui D, Thammano A (2019) An enhanced Bat algorithm with random walk for solving continuous optimization problems. In: 2019 20th IEEE/ACIS International conference on software engineering, artificial intelligence, networking and parallel/distributed computing (SNPD), pp 39–44

33.

Karaboga D, Gorkemli B (2019) Solving traveling salesman problem by using combinatorial artificial bee colony algorithms. Int J Artif Intell Tools 28(1):1950004

34.

Sahin M (2022) Solving TSP by using combinatorial Bees algorithm with nearest neighbor method. Neural Comput Appl 1–17

35.

MP-TESTDATA. The TSPLIB symmetric travelling salesman problem instances. Retrieved from http://elib.zib.de/pub/mp-testdata/tsp/tsplib/tsp/index.html. Accessed 5 March 2022

36.

Lambiase A, Iannone R, Miranda S, Lambiase A, Pham DT (2016) Bees algorithm for effective supply chains configuration. Int J Eng Bus Manage 8:1–9CrossRef

37.

Xu W, Tang Q, Liu J, Liu Z, Zhou Z, Pham DT (2020) Disassembly sequence planning using discrete Bees algorithm for human-robot collaboration in remanufacturing. Rob Comput-Integr Manuf 62:101860CrossRef

38.

Ezugwu AE, Adewumi AO (2017) Discrete symbiotic organisms search algorithm for travelling salesman problem. Expert Syst Appl 87:70–78CrossRef

39.

Tuani AF, Keedwell E, Collett M (2020) Heterogenous adaptive ant colony optimization with 3-opt local search for the travelling salesman problem. Appl Soft Comput J 97:106720CrossRef

Titel: Development of the Bees Algorithm Toolkit for Optimisation in LabVIEW
verfasst von: Murat Sahin
D. T. Pham
Verlag: Springer Nature Switzerland
Buch: Intelligent Engineering Optimisation with the Bees Algorithm
Print ISBN: 978-3-031-64935-6

Electronic ISBN: 978-3-031-64936-3

Copyright-Jahr: 2025
DOI: https://doi.org/10.1007/978-3-031-64936-3_4

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