Recent Advances in Memetic Algorithms

Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems. Memetic algorithms are the subject of intense scientific research and have been successfully applied to a multitude of real-world problems ranging from the construction of optimal u...

সম্পূর্ণ বিবরণ

সংরক্ষণ করুন:
গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Hart, William E., 19..-
অন্যান্য লেখক: Krasnogor, Natalio (Publishing director), Smith, James E., 1964- (Publishing director)
বিন্যাস: Livre numérique
ভাষা:Anglais
প্রকাশিত: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
সংস্করন:1st ed. 2005.
মালা:Studies in Fuzziness and Soft Computing 166
অনলাইন ব্যবহার করুন:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
টীকা: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Recent advances in memetic algorithms, William E. Hart, N. Krasnogor, J.E. Smith (eds.), 2005, Berlin, Springer, 1 vol. (x-408 p.), Studies in fuzziness and soft computing, 3-540-22904-3
• Recent Advances in Memetic Algorithms, Texte imprimé, 9783642061769
• Recent Advances in Memetic Algorithms, Texte imprimé, 9783540803454
বিবরন
সংক্ষিপ্ত:Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems. Memetic algorithms are the subject of intense scientific research and have been successfully applied to a multitude of real-world problems ranging from the construction of optimal university exam timetables, to the prediction of protein structures and the optimal design of space-craft trajectories. "Recent Advances in Memetic Algorithms" presents a rich state-of-the-art gallery of works on Memetic algorithms. Recent Advances in Memetic Algorithms is the first book that focuses on this technology as the central topical matter. This monograph gives a coherent, integrated view on both good practice examples and new trends including a concise and self-contained introduction to Memetic Algorithms. It is a necessary read for postgraduate students and researchers interested in recent advances in search and optimization technologies based on Memetic algorithms, but can also be used as complement to undergraduate textbooks on artificial intelligence
উপাদানের বিবরণ:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
আইসবিএন:9783540323631
আইএসএসএন:1860-0808
প্রবেশাধিকার:Accès en ligne pour les établissements français bénéficiaires des licences nationales
Accès soumis à abonnement pour tout autre établissement
Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017