Differential Evolution: In Search of Solutions (Springer Optimization and Its Applications)
| Author | : | |
| Rating | : | 4.11 (776 Votes) |
| Asin | : | 0387368957 |
| Format Type | : | paperback |
| Number of Pages | : | 196 Pages |
| Publish Date | : | 2014-07-19 |
| Language | : | English |
DESCRIPTION:
1136 (14), 2008). … The author is not only an expert in the field of the book, but also has had a great impact on its latest developments … . Pardalos, Mathematical Reviews, Issue 2007 e)"The book deals with the neoteric differential evolution, strategies of search, transversal differential evolution, energetic selection principle, hybridization of differential evolution and applications. The writing style is very dynamic and nice, inviting the interested reader (students, teachers, engineers etc.) to learn more about this exciting subject." (Florin Gorunescu, Zentralblatt MATH, Vol. the stress of the book lies more on the practical side of the algorithm than on its theory, it is
A somewhat quirky, but excellent book on Differential Evolution andy_c I got this book after having read the one by Price, Storn and Lampinen, "Differential Evolution: A Practical Approach to Global Optimization". Even though the authors of that book were the originators of the Differential Evolution (DE) algorithm, their book nonetheless left me confused about a number of issues. So I tried this one by Vitaliy Feoktistov and am very glad I did.The author has an approach that's unusually casual, enthusiastic and friendly for such a technical subject. One realizes very quickly that not only does he love the subject matter, but also that he h
Most problems can be expressed in mathematical terms, and so the methods of optimization render a significant aid. Individuals and enterprises are looking for optimal solutions for the problems they face. It offers comprehensive coverage on Differential Evolution, presenting revolutionary ideas in population-based optimization and shows the best known metaheuristics through the prism of Differential Evolution.. This book details the latest achievements in optimization