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Socio-cultural Inspired Metaheuristics pp 1–25Cite as

Optimum Design of Four Mechanical Elements Using Cohort Intelligence Algorithm

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 828))

Abstract

In this study, Cohort Intelligence (CI) algorithm is implemented for solving four mechanical engineering problems such as design of closed coil helical spring, belt pulley drive, hollow shaft, and helical spring. As these problems are constrained in nature, a penalty function approach is incorporated. The performance of the constrained CI is compared with other contemporary algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization, Artificial Bee Colony (ABC), Teaching–Learning-Based Optimization (TLBO), and TLBO with Differential Operator (DTLBO). The performance of the constrained CI was better than other algorithms in terms of objective function. The computational cost was quite reasonable, and the algorithm exhibited robustness solving these problems.

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Author information

Authors and Affiliations

  1. Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, 412115, Maharashtra, India

    Kishor Marde & Anand J. Kulkarni

  2. Odette School of Business, University of Windsor, 401 Sunset Avenue, Windsor, ON, N9B3P4, Canada

    Anand J. Kulkarni

  3. ABV - Indian Institute of Information Technology and Management Gwalior, Gwalior, 474015, Madhya Pradesh, India

    Pramod Kumar Singh

Authors
  1. Kishor Marde
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  2. Anand J. Kulkarni
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  3. Pramod Kumar Singh
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Corresponding author

Correspondence to Anand J. Kulkarni .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, Maharashtra, India

    Anand J. Kulkarni

  2. ABV-Indian Institute of Information Technology and Management Gwalior, Gwalior, Madhya Pradesh, India

    Pramod Kumar Singh

  3. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  4. Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran

    Ali Husseinzadeh Kashan

  5. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore

    Kang Tai

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Marde, K., Kulkarni, A.J., Singh, P.K. (2019). Optimum Design of Four Mechanical Elements Using Cohort Intelligence Algorithm. In: Kulkarni, A.J., Singh, P.K., Satapathy, S.C., Husseinzadeh Kashan, A., Tai, K. (eds) Socio-cultural Inspired Metaheuristics. Studies in Computational Intelligence, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-13-6569-0_1

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