Differential evolution : in search of solutions
The human being aspires to the best possible performance. Both individuals and enterprises are looking for optimal in other words, the best possible solutions for situations or problems they face. Most of these problems can be expressed in mathematical terms, and so the methods of optimization undou...
में बचाया:
| मुख्य लेखक: | |
|---|---|
| स्वरूप: | Livre numérique |
| भाषा: | Anglais |
| प्रकाशित: |
New York, NY :
Springer US
[20..].
Cham : Springer Nature |
| संस्करण: | 1st ed. 2006. |
| श्रृंखला: | Springer Optimization and Its Applications
5 |
| विषय: | |
| ऑनलाइन पहुंच: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| टिप्पणी: |
Description d'après consultation du 17 mars 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Differential Evolution, Texte imprimé, 9781441942340 • Optimum design of structures, with special reference to alternative loads using geometric programming, L. Chibani, Berlin, Springer-Verlag, 1989, viii, 154 p., Lecture notes in engineering, 0-387-51539-9 • Differential evolution, in search of solutions, Vitaliy Feoktistov, 2006, New York, Springer, 1 vol. (XII-195 p.), Optimization and its applications, 978-0-387-36895-5 |
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| 100 | 1 | |a Feoktistov, Vitaliy, |d 1978- | |
| 245 | 1 | 0 | |a Differential evolution : |b in search of solutions |c Vitaliy Feoktistov. |
| 250 | |a 1st ed. 2006. | ||
| 260 | |a New York, NY : |b Springer US. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Springer Optimization and Its Applications |v 5 |x 1931-6836 | |
| 500 | |a Description d'après consultation du 17 mars 2011 | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Bibliogr. p. [173]-185. Index | ||
| 505 | 1 | |a Differential Evolution Neoteric Differential Evolution Strategies of Search Exploration and Exploitation New Performance Measures Transversal Differential Evolution On Analogy with Some Other Algorithms Energetic Selection Principle On Hybridization of Differential Evolution Applications End Notes | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a The human being aspires to the best possible performance. Both individuals and enterprises are looking for optimal in other words, the best possible solutions for situations or problems they face. Most of these problems can be expressed in mathematical terms, and so the methods of optimization undoubtedly render a significant aid. In cases where there are many local optima; intricate constraints; mixed-type variables; or noisy, time-dependent or otherwise ill-defined functions, the usual methods don t give satisfactory results. Are you seeking fresh ideas or more efficient methods, or do you perhaps want to be well-informed about the latest achievements in optimization? If so, this book is for you. This book develops a unified insight on population-based optimization through Differential Evolution, one of the most recent and efficient optimization algorithms. You will find, in this book, everything concerning Differential Evolution and its application in its newest formulation. This book will be a valuable source of information for a very large readership, including researchers, students and practitioners. The text may be used in a variety of optimization courses as well. Features include: Neoteric view of Differential Evolution Unique formula of global optimization The best known metaheuristics through the prism of Differential Evolution Revolutionary ideas in population-based optimization Audience Differential Evolution will be of interest to students, teachers, engineers, and researchers from various fields, including computer science, applied mathematics, optimization and operations research, artificial evolution and evolutionary algorithms, telecommunications, engineering design, bioinformatics and computational chemistry, chemical engineering, mechanical engineering, electrical engineering, and physics | ||
| 650 | |a Optimisation mathématique | ||
| 650 | |a Algorithmes | ||
| 650 | |a Applications scientifiques | ||
| 650 | |a Algorithmes génétiques | ||
| 776 | 0 | |t Differential Evolution |b Texte imprimé |z 9781441942340 | |
| 776 | 0 | |0 112362745 |t Optimum design of structures |o with special reference to alternative loads using geometric programming |f L. Chibani |c Berlin |n Springer-Verlag |d 1989 |p viii, 154 p. |s Lecture notes in engineering |z 0-387-51539-9 | |
| 776 | 0 | |0 124400582 |t Differential evolution |o in search of solutions |f Vitaliy Feoktistov |d 2006 |c New York |n Springer |p 1 vol. (XII-195 p.) |s Optimization and its applications |z 978-0-387-36895-5 | |
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