Neuro-Hormonal Homeostatic Optimization (NHO) Algorithm
Year: 2026
Type: book
Abstract: Neuro-Hormonal Homeostatic Optimization (NHO) is a biologically inspired population-based metaheuristic optimization framework designed to regulate exploration and exploitation through adaptive neuro-hormonal control dynamics. The algorithm is conceptually motivated by neuromodulatory and homeostatic adaptation mechanisms observed in biological nervous systems. NHO employs interacting reinforcement, stabilization, and stress-response signals to dynamically guide population evolution and adaptive search behavior during the optimization process. The repository includes a lightweight reference implementation of the proposed optimizer together with a simple demonstration notebook and algorithmic workflow visualization for research transparency and reproducibility purposes. This material is shared to support academic validation and methodological reproducibility of the associated research study. The repository does not contain the complete experimental framework, large-scale benchmark infrastructure, or full engineering optimization pipelines used in the original manuscript. Comprehensive experimental materials, benchmark studies, and additional implementation details will be made publicly available following the formal publication of the associated research article. If you use this material in academic work, please cite the associated publication and repository DOI.
Author: ÖZCAN, Nermin
Institution: İskenderun Technical University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7162192246