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A Case Study of Shape Optimization Using Grasshopper Optimization Algorithm

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Recent Advances in Intelligent Manufacturing and Service Systems

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

Structural optimization is a popular topic in today’s engineering and industry to reduce costs and obtain more ideal designs. In the structural optimization problem, the lightest design under conditions is investigated. Increasing studies in recent years have proven the success of metaheuristic optimization algorithms in structural optimization problems. Unlike the traditional method, metaheuristic methods use stochastic methods and do not need derivative information of the problem. This makes them more flexible and easy to use. In this study, a solid part’s shape optimization is performed by using the Grasshopper Optimization Algorithm (GOA). The design values and results found by the algorithm are discussed.

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Authors and Affiliations

  1. Turkish Aerospace Industries Inc, Uludag University R&D Center, Bursa, Turkey

    Faik Fatih Korkmaz, Mert Subran & Ali Rıza Yıldız

Authors
  1. Faik Fatih Korkmaz
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  2. Mert Subran
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  3. Ali Rıza Yıldız
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Corresponding author

Correspondence to Faik Fatih Korkmaz .

Editor information

Editors and Affiliations

  1. School of Engg and Natural Sciences, Istanbul Medipol University, Istanbul, Turkey

    Zekai Sen

  2. Department of Industrial Engineering, Marmara University, Istanbul, Turkey

    Ercan Oztemel

  3. Sakarya University of Applied Sciences, Sakarya, Turkey

    Caner Erden

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Korkmaz, F., Subran, M., Yıldız, A. (2022). A Case Study of Shape Optimization Using Grasshopper Optimization Algorithm. In: Sen, Z., Oztemel, E., Erden, C. (eds) Recent Advances in Intelligent Manufacturing and Service Systems. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-7164-7_9

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  • DOI: https://doi.org/10.1007/978-981-16-7164-7_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-7163-0

  • Online ISBN: 978-981-16-7164-7

  • eBook Packages: EngineeringEngineering (R0)

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