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Jaya: An Advanced Optimization Algorithm and its Engineering Applications pp 181–255Cite as

Single- and Multi-objective Optimization of Traditional and Modern Machining Processes Using Jaya Algorithm and Its Variants

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Abstract

This chapter describes the formulation of process parameters optimization models for traditional machining processes of turning, surface grinding and modern machining processes of wire electric discharge machining (wire EDM), electro-discharge machining (EDM), micro-electric discharge machining, electro-chemical machining (ECM), abrasive waterjet machining (AWJM), focused ion beam (FIB) micro-milling, laser cutting and plasma arc machining. The TLBO and NSTLBO algorithms, Jaya algorithm and its variants such as Quasi-oppositional (QO) Jaya, multi-objective (MO) Jaya, and multi-objective quasi-oppositional (MOQO) Jaya are applied to solve the single and multi-objective optimization problems of the selected traditional and modern machining processes. The results are found better as compared to those given by the other advanced optimization algorithms.

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Authors and Affiliations

  1. Department of Mechanical Engineering, S.V. National Institute of Technology, Surat, Gujarat, India

    Ravipudi Venkata Rao

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  1. Ravipudi Venkata Rao
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Correspondence to Ravipudi Venkata Rao .

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Venkata Rao, R. (2019). Single- and Multi-objective Optimization of Traditional and Modern Machining Processes Using Jaya Algorithm and Its Variants. In: Jaya: An Advanced Optimization Algorithm and its Engineering Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-78922-4_7

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