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Dynamic Synthesis of a Multibody System: A Comparative Study Between Genetic Algorithm and Particle Swarm Optimization Techniques

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Computational Kinematics

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 50))

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Abstract

This paper proposes a dynamic synthesis of a flexible multibody systems, mainly, a slider crank mechanism incorporating a flexible connecting rod. Differently to classical synthesis, the mechanism design variables are identified by means of the mechanism dynamic responses such as, the velocity and the acceleration of the slider, and the flexible connecting rod transversal deflection. A comparative study between two optimization techniques, the genetic algorithm (GA) and the Particle Swarm Optimization (PSO), has been established. The two approaches employ different strategies and computational effort to find a solution to a given objective function. Thus, we are interested in the comparison of their implementation. The comparative study asserts that the PSO technique is more suitable for the dynamic synthesis.

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References

  1. Ben Abdallah, M.A., Khemili, I., Aifaoui, N.: Multibody SystDyn 38, 173 (2016). doi:10.1007/s11044-016-9526-7

  2. Laribi, M.A., Mlika, A., Romdhane, L., Zeghloul, S.: Combined genetic algorithm-fuzzy logic method (GA-FL) in mechanisms synthesis. Mech. Mach. Theory 39, 717–735 (2004)

    Article  MATH  Google Scholar 

  3. Essomba, T., Laribi, M.A., Zeghloul, S., Poissonrobotica, G.: Optimal synthesis of a spherical parallel mechanism for medical application. doi:https://doi.org/10.1017/S0263574714001805

  4. Kucuk, S.: Energy minimization for 3-RRR fully planar parallel manipulator using particle swarm optimization. Mech. Mach. Theory 62, 129–149 (2013)

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  5. Goldberg, D.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley Longman Publishing Co, Boston (1989)

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  6. Maurice clerc particle, swarm optimization. Wiley-ISTE, February 2006

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Correspondence to Mohamed Amine Ben Abdallah .

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Ben Abdallah, M.A., Khemili, I., Laribi, M.A., Aifaoui, N. (2018). Dynamic Synthesis of a Multibody System: A Comparative Study Between Genetic Algorithm and Particle Swarm Optimization Techniques. In: Zeghloul, S., Romdhane, L., Laribi, M. (eds) Computational Kinematics. Mechanisms and Machine Science, vol 50. Springer, Cham. https://doi.org/10.1007/978-3-319-60867-9_26

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  • DOI: https://doi.org/10.1007/978-3-319-60867-9_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60866-2

  • Online ISBN: 978-3-319-60867-9

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