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Accelerated cuckoo optimization algorithm for the multi-objective welding process

Mellal, Mohamed Arezki and Salhi, Abdellah and Williams, Edward J (2020) 'Accelerated cuckoo optimization algorithm for the multi-objective welding process.' Journal of the Brazilian Society of Mechanical Sciences and Engineering, 42 (1). ISSN 1678-5878

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Abstract

Welding is a well-known process in manufacturing industries due to its importance. Several process parameters should be tuned in order to perform a high-quality welding. Usually, the problem is described as an optimization one and the challenge is to reconcile conflicting objectives. This paper deals with a multi-objective welding process namely the submerged arc welding process, involving five objectives. The weighted sum approach is used to handle it. An accelerated cuckoo optimization algorithm is implemented for this process model and applied to a practical instance of it. On this practical example, the superiority of the proposed optimization technique has been demonstrated in terms of better solutions and fewer required generations of the cuckoos relative to the basic COA and four other optimization algorithms.

Item Type: Article
Uncontrolled Keywords: Welding process; Process parameters; Accelerated cuckoo optimization algorithm (ACCOA)
Divisions: Faculty of Science and Health
Faculty of Science and Health > Mathematical Sciences, Department of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 26 Nov 2019 09:11
Last Modified: 06 Jan 2022 14:08
URI: http://repository.essex.ac.uk/id/eprint/26023

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