Optimisation of Multi-Agent Based Medical Diagnosis with Adaptive Particle Swarm and Firefly Algorithm in Healthcare Sector

Abstract:

This study develops a multi-agent medical diagnosis system using Adaptive Particle Swarm Optimization (APSO) and Firefly Algorithm (FA) for healthcare applications. The primary objective of this research is to enhance the precision and efficacy of medical diagnosis by leveraging the collective computational capacity of multi-agent systems. The system has been developed to address the inherent complexity of large and diverse medical datasets, thereby facilitating more accurate and rapid diagnosis recommendations. The primary case study in this research focuses on the diagnosis of diabetes. Adaptive Particle Swarm Optimization (APSO) is a meta-heuristic algorithm that has been shown to improve the performance of agents in a system, facilitating dynamic adaptation to changing data and environmental conditions. Concurrently, the Firefly Algorithm (FA) is employed to enhance the capacity to identify optimal solutions, emulating the natural behavior of fireflies. It is hypothesized that the integration of these two algorithms will overcome the shortcomings of each method when used separately. The findings indicated that the implementation of a multi-agent system utilizing APSO and FA resulted in a significant enhancement in performance when compared to conventional methodologies. The accuracy of diagnoses increased by up to 15%. The system's efficacy was assessed through the implementation of standard medical datasets, yielding promising results. These findings suggest that the system possesses considerable potential for implementation in authentic medical practice settings. This research paves the way for further development in the integration of artificial intelligence technologies in the healthcare field, particularly in medical decision support systems. Consequently, it is anticipated to effectuate a favorable transformation in the quality of healthcare on a global scale.

• Periodical: Engineering Headway (Volume 29)
• Pages: 33-40
• DOI: https://doi.org/10.4028/p-Q9NpkH
• Online since: November 2025
• Authors: Mochamad Misbachul Munir Ardy*, Dieky Adzkiya
• Keywords: Adaptive Particle Swarm Optimization, Artificial Intelligence, Diabetes, Firefly Algorithm, Healthcare Field, Medical Diagnosis, Multi-Agent System

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