Bio-Inspired Next Generation Optimizing and Computing Algorithms

Bio-Inspired Next Generation Optimizing and Computing Algorithms (Springer Tracts in Electrical and Electronics Engineering)

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Bio-Inspired Next Generation Optimizing and Computing Algorithms (Springer Tracts in Electrical and Electronics Engineering)

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Bio-Inspired Next Generation Optimizing and Computing Algorithms

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Bio-Inspired Next Generation Optimizing and Computing Algorithms (Springer Tracts in Electrical and Electronics Engineering)

Overall Rating: 2.3 / 5 (average from multiple review sources, as of 23 Jun 2026)
Based on a total of 48,964 customer reviews from independent review platforms.

Sources & Transparency:
The values are derived from publicly available retailer ratings from platforms such as Feefo, http://Reviews.io , Trustpilot, and others, and are aggregated monthly.

All brand names and logos are the property of their respective owners.

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pricehunter.co.uk cannot guarantee that published shop ratings originate from consumers who have actually made a purchase from the reviewed retailer.
This title will be released on July 29, 2026. Pre-order now. Express Delivery available with Amazon Prime.
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Bio-Inspired Next Generation Optimizing and Computing Algorithms

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This book focuses on the use of nature-inspired algorithms in the context of the Fourth Industrial Revolution and smart cities.It discusses the key aspects of the Fourth Industrial Revolution, including its cyber, digital, and biological domains.The book also highlights how emerging technologies-shaped by naturalistic algorithms-intersect with the development and realization of smart cities.It explores new optimization models, modeling features, and solution methodologies driven by specific applications such as VLSI IC design, cloud computing, and the Internet of Things (IoT).These applications utilize intelligent devices, smart infrastructures, advanced sensors, and machine learning across various sectors, including business, finance, industry, manufacturing, management, and environmental systems.The book presents the latest optimization approaches for a wide range of real-world application areas and serves as a valuable guide for students, academics, and professionals in the field.
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