|
|
Showing 1 - 2 of
2 matches in All Departments
"Industrial applications of evolutionary algorithms" is intended as
a resource for both experienced users of evolutionary algorithms
and researchers that are beginning to approach these fascinating
optimization techniques. Experienced users will find interesting
details of real-world problems, advice on solving issues related to
fitness computation or modeling, and suggestions on how to set the
appropriate parameters to reach optimal solutions. Beginners will
find a thorough introduction to evolutionary computation, and a
complete presentation of several classes of evolutionary algorithms
exploited to solve different problems. Inside, scholars will find
useful examples on how to fill the gap between purely theoretical
examples and industrial problems. The collection of case studies
presented is also extremely appealing for anyone interested in
Evolutionary Computation, but without direct access to extensive
technical literature on the subject. After the introduction, each
chapter in the book presents a test case, and is organized so that
it can be read independently from the rest: all the information
needed to understand the problem and the approach is reported in
each part. Chapters are grouped by three themes of particular
interest for real-world applications, namely prototype-based
validation, reliability and test generation. The authors hope that
this volume will help to expose the flexibility and efficiency of
evolutionary techniques, encouraging more companies to adopt them;
and that, most of all, you will enjoy your reading.
"Industrial applications of evolutionary algorithms" is intended as
a resource for both experienced users of evolutionary algorithms
and researchers that are beginning to approach these fascinating
optimization techniques. Experienced users will find interesting
details of real-world problems, advice on solving issues related to
fitness computation or modeling, and suggestions on how to set the
appropriate parameters to reach optimal solutions. Beginners will
find a thorough introduction to evolutionary computation, and a
complete presentation of several classes of evolutionary algorithms
exploited to solve different problems. Inside, scholars will find
useful examples on how to fill the gap between purely theoretical
examples and industrial problems. The collection of case studies
presented is also extremely appealing for anyone interested in
Evolutionary Computation, but without direct access to extensive
technical literature on the subject. After the introduction, each
chapter in the book presents a test case, and is organized so that
it can be read independently from the rest: all the information
needed to understand the problem and the approach is reported in
each part. Chapters are grouped by three themes of particular
interest for real-world applications, namely prototype-based
validation, reliability and test generation. The authors hope that
this volume will help to expose the flexibility and efficiency of
evolutionary techniques, encouraging more companies to adopt them;
and that, most of all, you will enjoy your reading.
|
You may like...
Chernobyl
Jared Harris, Stellan Skarsgard, …
Blu-ray disc
R707
R507
Discovery Miles 5 070
Loot
Nadine Gordimer
Paperback
(2)
R367
R340
Discovery Miles 3 400
|