Machine learning and optimization techniques are revolutionizing
our world. Other types of information technology have not
progressed as rapidly in recent years, in terms of real impact. The
aim of this book is to present some of the innovative techniques in
the field of optimization and machine learning, and to demonstrate
how to apply them in the fields of engineering. Optimization and
Machine Learning presents modern advances in the selection,
configuration and engineering of algorithms that rely on machine
learning and optimization. The first part of the book is dedicated
to applications where optimization plays a major role, and the
second part describes and implements several applications that are
mainly based on machine learning techniques. The methods addressed
in these chapters are compared against their competitors, and their
effectiveness in their chosen field of application is illustrated.
General
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