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This book collects different methodologies that permit
metaheuristics and machine learning to solve real-world problems.
This book has exciting chapters that employ evolutionary and swarm
optimization tools combined with machine learning techniques. The
fields of applications are from distribution systems until medical
diagnosis, and they are also included different surveys and
literature reviews that will enrich the reader. Besides,
cutting-edge methods such as neuroevolutionary and IoT
implementations are presented in some chapters. In this sense, the
book provides theory and practical content with novel machine
learning and metaheuristic algorithms. The chapters were compiled
using a scientific perspective. Accordingly, the book is primarily
intended for undergraduate and postgraduate students of Science,
Engineering, and Computational Mathematics and can be used in
courses on Artificial Intelligence, Advanced Machine Learning,
among others. Likewise, the material can be helpful for research
from the evolutionary computation, artificial intelligence
communities.
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