Introduction to Evolutionary Computing
Buch in deiner Nähe kaufen
Beschreibung
The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. These techniques are being increasingly widely applied to a variety of problems. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. The book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.
At present the only authored book that contains a complete overview of the field of evolutionary computing, treating all "dialects" and important algorithm variants: GAs, ES, EP, GP, LCS, MAs, MOEAs Provides a single comprehensive source using one conceptual framework and a uniform terminology at a level accessible to undergraduates Includes supplementary material: sn.pub/extras
Autor*in
Agoston E. Eiben
Themen in »Introduction to Evolutionary Computing«
Evolution strategies Evolutionary computation Evolutionary computing Evolutionary programming algorithms evolutionary algorithm genetic algorithms genetic programming learning programming
Stimmen zu »Introduction to Evolutionary Computing«
From the reviews:
"This is intended primarily as a textbook for lecturers and graduate and undergraduate students but will certainly attract a wider readership. The authors explain that each of them has many years of teaching experience, and has given instruction on Evolutionary Computing (EC) … and they realised the need for a suitable textbook and decided to write this one. … Beside serving as an introduction the book is a guide to the state-of-the art. … This is a well-produced and very useful book." (Alex M. Andrew, Robotica, Vol. 22, 2004)
()