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A novel particle swarm optimization approach for product design and manufacturing

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Abstract

This paper presents a novel optimization approach that is a new hybrid optimization approach based on the particle swarm optimization algorithm and receptor editing property of immune system. The aim of the present research is to develop a new optimization approach and then to apply it in the solution of optimization problems in both the design and manufacturing areas. A single-objective test problem, tension spring problem, pressure vessel design optimization problem taken from the literature and two case studies for multi-pass turning operations are solved by the proposed new hybrid approach to evaluate performance of the approach. The results obtained by the proposed approach for the case studies are compared with a hybrid genetic algorithm, scatter search algorithm, genetic algorithm, and integration of simulated annealing and Hooke-Jeeves pattern search.

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Author notes

  1. Ali Rıza Yıldız

    Present address: Mechanical Engineering Department, University of Michigan, Ann Arbor, MI, 48109, USA

Authors and Affiliations

  1. Mechanical Engineering Department, Uludag University, Bursa, 16059, Turkey

    Ali Rıza Yıldız

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  1. Ali Rıza Yıldız
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Correspondence to Ali Rıza Yıldız.

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Yıldız, A.R. A novel particle swarm optimization approach for product design and manufacturing. Int J Adv Manuf Technol 40, 617–628 (2009). https://doi.org/10.1007/s00170-008-1453-1

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  • DOI: https://doi.org/10.1007/s00170-008-1453-1

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