Multi-objective genetic algorithm driven formulation of a plant-based probiotic premix powder: Nutrient-cost modeling, microstructural characterization and sensory validation

This study presents a multi-objective genetic algorithm (NSGA-II) driven framework for the rational formulation of a plant-based probiotic premix powder under simultaneous nutritional and economic constraints. Protein content, energy value, and protein density were maximized while formulation cost w...

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Bibliographic Details

Main Authors:	Tang, Ping, Cui, Ming Yang, Mohsin, Aliah Zannierah, Meor Hussin, Anis Shobirin, Juhari, Nurul Hanisah
Format:	Article
Language:	en
Published:	Springer 2026
Subjects:	Food Science Chemical Engineering (all) Safety, Risk, Reliability and Quality
Online Access:	http://psasir.upm.edu.my/id/eprint/123973/1/123973.pdf http://psasir.upm.edu.my/id/eprint/123973/ https://link.springer.com/article/10.1007/s11694-026-04081-8
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