Experimental Design of Bio-Inspired Algorithms by Pijush Dutta(.ePUB)+
File Size: 18.6 MB
Experimental Design of Bio-Inspired Algorithms for Optimization Problems in Industry 5.0: Volume 1 (Applied Machine Learning for IoT and Data Analytics) by Pijush Dutta, Sudip Mandal, Korhan Cengiz, S. Balamurugan
Requirements: .ePUB, .PDF reader, 18.6 MB | True PDF, True EPUB
Overview: Experimental Design of Bio-Inspired Algorithms for Optimization Problems in Industry 5.0: Volume 1 is an integrated exploration of nature-inspired optimisation techniques within the emerging Industry 5.0 paradigm- Positioned at the intersection of Artificial Intelligence (AI), Computational Intelligence (CI), industrial engineering, and cyber-physical systems, this volume centres on human-centricity, sustainability, resilience, and intelligent automation. The book comprehensively reviews evolutionary computation, Swarm Intelligence, neural computation, and hybrid metaheuristics, explaining how these methods can be systematically designed, statistically validated, and benchmarked for real-world deployment. Foundational chapters address Explainable AI (XAI), statistical experimental design, ANOVA-based modelling, parameter tuning strategies, and performance evaluation frameworks. Through fifteen carefully curated chapters, the book presents practical case studies in wireless sensor networks, smart manufacturing, micro-machining, welding optimisation, renewable energy systems, motor control, wireless communications, banking automation, and advanced antenna design. Emphasis is placed on experimental rigour, benchmarking, and reproducibility—bridging the gap between theoretical advancements and industrial implementation. For researchers, academics, doctoral scholars, and postgraduate students in Artificial Intelligence, optimisation, Computational Intelligence, industrial engineering, and Industry 5.0 studies.
Genre: Non-Fiction > Tech & Devices
Free Download links: