| DC Field | Value | Language |
|---|
| dc.contributor.author | Eiben, A.E. | - |
| dc.date.accessioned | 2021-04-21T05:24:01Z | - |
| dc.date.available | 2021-04-21T05:24:01Z | - |
| dc.date.issued | 2015 | - |
| dc.identifier.isbn | 978-3-662-44874-8 | - |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/198 | - |
| dc.description | The overall structure of the new edition is three-tier: Part I presents the
basics, Part II is concerned with methodological issues, and Part III discusses
advanced topics. These parts are followed by the References, and although
that now contains nearly five hundred entries, we inevitably missed some. We
apologise, it is nothing personal. Just send us an email if we forgot a really
important one.
Writing this book would not have been possible without the support of
many. In the first place, we wish to express our gratitude to Daphne and
Cally for their patience, understanding, and tolerance. Without their support
this book could not have been written. Furthermore, we acknowledge the help
of our colleagues and the students worldwide who pointed out errors in and
gave us feedback about the earlier version of the book. We are especially
grateful to Bogdan Filipič for his comments on the almost-final draft of this
book. | en_US |
| dc.description.abstract | This is the second edition of our 2003 book. It is primarily a book for lectur-
ers and graduate and undergraduate students. To this group the book offers a
thorough introduction to evolutionary computing (EC), descriptions of popu-
lar evolutionary algorithm (EA) variants, discussions of methodological issues
and particular EC techniques. We end by presenting an outlook to evolu-
tionary robotics and the future of EC, as it stands poised to make a major
transition from evolution within computers to the evolution of things [147].
This book is also meant for those who wish to apply EC to a particular
problem or within a given application area. To this group the book is valuable
because it presents EC as something to be used, rather than just studied,
and it contains an explicit treatment of guidelines for good experimentation.
Finally, this book contains information on the state of the art in a wide range
of subjects that are interesting to fellow researchers, as quick reference on
subjects outside of their own specialist field of EC. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.subject | COMPUTER SCIENCE | en_US |
| dc.subject | Evolutionary Computing | en_US |
| dc.title | Introduction to Evolutionary Computing | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | ARTS & SCIENCE
|
