Utilizing fuzzy logic, particle swarm optimization, desirability function and NSGA-II for multi-objective optimization of sponge Gourd–Bagasse polymer composite properties

Utilizing fuzzy logic, particle swarm optimization, desirability function and NSGA-II for multi-objective optimization of sponge Gourd–Bagasse polymer composite properties

Abstract The process of developing mathematical models to forecast material properties can be intricate and time-consuming. Consequently, there has been a shift towards simpler and more precise computational models founded on artificial intelligence. In this particular research, fuzzy logic (FL) was...

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Bibliographic Details
Main Authors: Ikechukwu G. Chibueze, Stanley Okiy, Chidozie C. Nwobi-Okoye, Chizoba. M. Obele, Clement U. Atuanya
Format: Article
Language:English
Published: Springer 2024-12-01
Series:Discover Chemical Engineering
Subjects:
Fuzzy logic
Genetic algorithm
Particle swarm optimization
Desirability function
Composite
Multi objective optimization
Online Access:https://doi.org/10.1007/s43938-024-00071-8
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https://doi.org/10.1007/s43938-024-00071-8

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