Blockchain and Genetic Algorithms Interactions: A Brief Review
Nedjma Abidallah, Amira Ailane, Samir Bourekkache, Laïd Kahloul, Mohamed Salah Khalgui, Nadjet Azzaoui · 2025
The integration of Blockchain technology with genetic algorithms presents a novel approach to address complex optimisation challenges across various industries. This paper provides a comprehensive review about recent research on the hybridisation of Blockchain and genetic algorithms, focusing on applications that enhance system performance, scalability, and security. In the literature, Key contributions include energy optimisation in Blockchain-based systems, improved scalability through sharding techniques, and enhanced data integrity in healthcare systems. Additionally, genetic algorithms have been applied to optimise Blockchain adoption metrics, storage efficiency, and decentralised consensus mechanisms. Despite the promising results, challenges still remain such as high computational costs and scalability limitations. This review identifies these gaps and explores future research directions, particularly the potential of combining genetic algorithms with other artificial intelligence techniques and the development of adaptive consensus mechanisms. Our findings highlight the versatility and potential of genetic algorithm-enhanced Blockchain systems several areas such as energy management, e-commerce traceability, and decentralised decision-making, setting the stage for further exploration in real-world applications.