MO-NFSA for solving unconstrained multi-objective optimization problems

Normative Fish Swarm Algorithm (NFSA) is a novel variant of the Artificial Fish Swarm Algorithm (AFSA) proposed in 2019, and has been proven effective in solving single-objective optimization problems. Inspired by the potential of NFSA, this paper proposes an evolutionary multi-objective optimizatio...

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Bibliographic Details
Published in:	Engineering with computers Vol. 38; no. 3; pp. 2527 - 2548
Main Authors:	Tan, Weng-Hooi, Mohamad-Saleh, Junita
Format:	Journal Article
Language:	English
Published:	London Springer London 01.06.2022 Springer Nature B.V
Subjects:	Algorithms Approximation CAE) and Design Calculus of Variations and Optimal Control; Optimization Classical Mechanics Computer Science Computer-Aided Engineering (CAD Control Evolutionary algorithms Indicators Math. Applications in Chemistry Mathematical analysis Mathematical and Computational Engineering Multiple objective analysis Optimization Original Article Performance evaluation Performance measurement Systems Theory Pareto front Multi-objective optimization Performance metric Fish swarm algorithm Unconstrained test function
ISSN:	0177-0667, 1435-5663
Online Access:	Get full text
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