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Book Overview & Buying
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Table Of Contents
Hands-On Artificial Intelligence for IoT - Second Edition
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Evolutionary Algorithms (EAs) draw inspiration from Darwinian principles, finding their roots in the early days of computing. While these nature-inspired methods held promise, their widespread adoption was often hampered by one major drawback: computational expense. The process of simulating generations of solutions, evaluating their fitness, and iteratively refining them demanded resources that were often not readily available. However, the landscape is rapidly changing. With the remarkable increase in computational power, we’re witnessing a renaissance in EA research and applications. This section will explore recent developments, underscoring how EAs are now solving complex problems across various fields with unparalleled efficiency. From optimizing network structures in telecommunications and enhancing ML models to addressing logistical and engineering design challenges, EAs are demonstrating their versatility and adaptability. Moreover, the integration...