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International Conference on Swarm Intelligence

ICSI 2019: Advances in Swarm Intelligence pp 47–58Cite as

Multi-objective Optimization of a Steering Linkage Using Alternative Objective Functions

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11656))

Abstract

This paper proposes comparing objective functions in multi-objective optimization of a rack-and-pinion steering linkage in which the optimum results can be affected by the types of objective functions especially when using evolutionary algorithms. The optimization of a steering linkage in the past studied minimizing a steering error and/or a turning radius which can be formulated as a single or multi-objective optimization problem. Steering error usually defines as the different angle between actual angle of steering wheels and the theoretical angle of the wheels according to the Ackerman’s principal. Alternatively, the steering error can be rearranged in form of a deviation of instantaneous center based on the same principal, but it still needs to clarify the advantage of using different steering error measures. As a result, it is our attention to study the effect of objective functions to the optimum results on multi-objective optimization of a rack-and-pinion steering linkage. The objective functions are assigned to simultaneously minimize a steering error (dimensionless angle or length) and a turning radius. The design variables are linkage dimensions. The design problem is solved by improving the hybridization of real-code population-based incremental learning and differential evolution (RPBIL-DE). The comparison shows that the alternative objective function can compare with the traditional objective, which leads to effective design of rack-and-pinion steering linkages.

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Acknowledgement

The authors are grateful for the financial support provided by King Mongkut’s Institute of Technology Ladkrabang, the Thailand Research Fund (RTA6180010), and the Post-doctoral Program from Research Affairs, Graduate School, KhonKaen University (58225).

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Authors and Affiliations

  1. Department of Aeronautical Engineering, International Academy of Aviation Industry, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, 10520, Thailand

    Suwin Sleesongsom

  2. Sustainable and Infrastructure Development Center, Department of Mechanical Engineering, Faculty of Engineering, KhonKaen University, Khonkaen, 40002, Thailand

    Sujin Bureerat

Authors
  1. Suwin Sleesongsom
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  2. Sujin Bureerat
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Corresponding author

Correspondence to Suwin Sleesongsom .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

  3. Shenzhen University, Shenzhen, China

    Ben Niu

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Sleesongsom, S., Bureerat, S. (2019). Multi-objective Optimization of a Steering Linkage Using Alternative Objective Functions. In: Tan, Y., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2019. Lecture Notes in Computer Science(), vol 11656. Springer, Cham. https://doi.org/10.1007/978-3-030-26354-6_5

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  • DOI: https://doi.org/10.1007/978-3-030-26354-6_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26353-9

  • Online ISBN: 978-3-030-26354-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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