{"product_id":"experimental-design-of-bio-inspired-algorithms-for-optimization-problems-in-industry-5-0-9798898814106","title":"Experimental Design of Bio-Inspired Algorithms for Optimization Problems in Industry 5.0","description":"\u003cp\u003e • Author(s): Sudip Mandal | Korhan Cengiz | S. Balamurugan\u003cbr\u003e • Publisher: Bentham Science Publishers\u003cbr\u003e • Publisher Imprint: Bentham Science Publishers\u003cbr\u003e • BISAC: Computer Simulation\u003c\/p\u003e\u003cp\u003eApplied Machine Learning for IoT and Data Analytics (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, computational intelligence, industrial engineering, and cyber-physical systems, this volume centres on human-centricity, sustainability, resilience, and intelligent automation. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eThe 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. \u003cp\u003e\u003c\/p\u003eThrough 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. \u003cp\u003e\u003c\/p\u003eKey Features: \u003cp\u003e\u003c\/p\u003e-Comprehensive review of classical and hybrid bio-inspired algorithms.\u003cbr\u003e-Integration of optimisation techniques within the Industry 5.0 framework.\u003cbr\u003e-Covers Explainable AI for transparent optimisation systems with a strong focus on experimental design, ANOVA modelling, and statistical validation.\u003cbr\u003e-Practical case studies across manufacturing, energy, communications, and automation.\u003cbr\u003e-Emphasis on reproducibility and methodological rigour with forward-looking insights into AI-enhanced and explainable optimisation trends.","brand":"Bentham Science Publishers","offers":[{"title":"Paperback","offer_id":47883531845783,"sku":"9798898814106","price":14122.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798898814106.webp?v=1781102406","url":"https:\/\/atlanticbooks.com\/products\/experimental-design-of-bio-inspired-algorithms-for-optimization-problems-in-industry-5-0-9798898814106","provider":"Atlantic Books","version":"1.0","type":"link"}