Multi-objective tunicate search optimisation algorithm for numerical problems
by Isha Sharma; Vijay Kumar
International Journal of Intelligent Engineering Informatics (IJIEI), Vol. 10, No. 2, 2022

Abstract: In this paper, a multi-objective version of recently developed tunicate swarm algorithm (TSA) is proposed. The multi-objective TSA (MOTSA) utilises the external archive to store the non-dominated solutions. The concept of roulette wheel mechanism is also incorporated in MOTSA for selection of non-dominated solutions. To demonstrate the effectiveness of MOTSA, it is evaluated on the well-known benchmark test functions. The proposed MOTSA is compared with four well-renowned multi-Objective optimisation algorithms and quantitatively analysed by using the performance measures. The experimental results reveal that the proposed MOTSA outperforms the existing techniques in terms of performance measures.

Online publication date: Fri, 30-Sep-2022

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