Elsevier Applications of Computational Intelligence in Multi-Disciplinary Research

Applications of Computational Intelligence in Multi-Disciplinary Research is a comprehensive handbook published by Academic Press that equips readers with the essential principles, concepts, and algorithms needed to apply computational intelligence across diverse research domains. The book systematically covers the primary methodologies within computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods-collectively recognised as soft computing approaches. Additionally, the handbook explores advanced techniques such as swarm intelligence and artificial immune systems, providing researchers and practitioners with practical frameworks for integrating these powerful computational strategies into biomedical engineering, healthcare innovation, and interdisciplinary scientific investigations. This resource bridges theoretical foundations and real-world applications, making it invaluable for anyone seeking to harness computational intelligence for solving complex multi-disciplinary challenges.