Applications of Metaheuristic Algorithms in Nutritional Optimization and Personalized Diet Planning: A Review

Authors

  • Ibrahim Badi1, * 1 Department Mechanical Engineering, Libyan Academy-Misrata, 2949 Misrata, Libya., Department Mechanical Engineering, Libya.
  • Indianraj N 2 Department of Chemical Engineering, Modibbo Adama University, Adamawa State, Nigeria., Department of Chemical Engineering, Nigeria.
  • Imoh Ime Ekanem3 3 Department of Electrical/Electronic Engineering, University of Cross River State, Calabar, Cross River State, Nigeria., Department of Electrical/Electronic Engineering, Nigeria.

https://doi.org/10.48313/maa.vi.78

Abstract

This paper presents a comprehensive review of metaheuristic algorithms in biological and biomedical applications over the period 2000-2025. We systematically analyze the literature on metaheuristic algorithms and their applications to protein folding, drug discovery, genomic analysis, precision medicine,. The review covers approximately 166 papers, providing a structured taxonomy of algorithms, applications, and evaluation methodologies. We identify key trends including the shift toward hybrid approaches, integration of machine learning, and growing emphasis on explainability. The survey reveals that high-dimensional search spaces, expensive evaluations, multi-objectivi remain significant open problems. We provide detailed analysis of evaluation protocols, benchmark suites, and statistical methodologies. Future research directions include hybrid algorithm design, quantum-inspired methods, and standardized benchmarking frameworks.

Keywords:

metaheuristic optimization; biology; review; survey; protein folding, drug discovery, genomic

Published

2026-08-13

Issue

Articles in Press

Section

Articles

How to Cite

Ibrahim Badi1, Indianraj N, & Imoh Ime Ekanem3. (2026). Applications of Metaheuristic Algorithms in Nutritional Optimization and Personalized Diet Planning: A Review. Metaheuristic Algorithms With Applications. https://doi.org/10.48313/maa.vi.78