Experimental Design of Bio-Inspired Algorithms for Optimization Problems in Industry 5.0 (Paperback)

Lingua: inglese

Editore: Bentham Science Publishers, 2026

9798898814106

Serie: Libro 1 di 5 - Applied Machine Learning for IoT and Data Analytics

Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

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Venditore AbeBooks dal 29 giugno 2022

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Paperback. Applied 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. 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. Key Features: -Comprehensive review of classical and hybrid bio-inspired algorithms.-Integration of optimisation techniques within the Industry 5.0 framework.-Covers Explainable AI for transparent optimisation systems with a strong focus on experimental design, ANOVA modelling, and statistical validation.-Practical case studies across manufacturing, energy, communications, and automation.-Emphasis on reproducibility and methodological rigour with forward-looking insights into AI-enhanced and explainable optimisation trends. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Codice articolo 9798898814106

Titolo
Experimental Design of Bio-Inspired Algorithms for Optimization Problems in Industry 5.0 (Paperback)
Autore
Sudip Mandal
Editore
Bentham Science Publishers
Anno di pubblicazione
2026
Condizione
new
Rilegatura
Paperback
Lingua
inglese
ISBN 13
9798898814106
Serie
Libro 1 di 5: Applied Machine Learning for IoT and Data Analytics

CitiRetail

Stevenage, Regno Unito

Venditore con 5 stelle

Venditore AbeBooks dal 29 giugno 2022

Tariffe di spedizione da Regno Unito a U.S.A.

ArticoloDa 7 a 14 giorni lavorativiDa 7 a 60 giorni lavorativi
Primo articoloEUR 44,22EUR 44,22
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