Healing Intelligence: A Bio-Inspired Metaheuristic Optimization Method Using Recovery Dynamics

Vasileios Charilogis and Ioannis G. Tsoulos ()
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Vasileios Charilogis: Department of Informatics and Telecommunications, University of Ioannina, 47150 Kostaki Artas, Greece
Ioannis G. Tsoulos: Department of Informatics and Telecommunications, University of Ioannina, 47150 Kostaki Artas, Greece

Future Internet, 2025, vol. 17, issue 10, 1-46

Abstract: BioHealing Optimization (BHO) is a bio-inspired metaheuristic that operationalizes the injury–recovery paradigm through an iterative loop of recombination, stochastic injury, and guided healing. The algorithm is further enhanced by adaptive mechanisms, including scar map, hot-dimension focusing, RAGE/hyper-RAGE bursts (Rapid Aggressive Global Exploration), and healing-rate modulation, enabling a dynamic balance between exploration and exploitation. Across 17 benchmark problems with 30 runs, each under a fixed budget of 1.5 · 10 5 function evaluations, BHO achieves the lowest overall rank in both the “best-of-runs” (47) and the “mean-of-runs” (48), giving an overall rank sum of 95 and an average rank of 2.794. Representative first-place results include Frequency-Modulated Sound Waves, the Lennard–Jones potential, and Electricity Transmission Pricing. In contrast to prior healing-inspired optimizers such as Wound Healing Optimization (WHO) and Synergistic Fibroblast Optimization (SFO), BHO uniquely integrates (i) an explicit tri-phasic architecture (DE/best/1/bin recombination → Gaussian/Lévy injury → guided healing), (ii) per-dimension stateful adaptation (scar map, hot-dims), and (iii) stagnation-triggered bursts (RAGE/hyper-RAGE). These features provide a principled exploration–exploitation separation that is absent in WHO/SFO.

Keywords: bio-inspired algorithms; metaheuristics; regenerative computing; wound healing; evolutionary algorithms; global optimization; mutation strategies (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2025
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