Evolutionary Multi-Criterion Optimization [[electronic resource] ] : 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings / / edited by Kalyanmoy Deb, Erik Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, Patrick Reed

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
• Edizione: 1st ed. 2019.
• Descrizione fisica: 1 online resource (XX, 757 p. 374 illus., 228 illus. in color.)
• Disciplina: 519.3
• Soggetto topico: Algorithms; Artificial intelligence; Computer science; Computer science—Mathematics; Computer networks; Artificial intelligence—Data processing; Artificial Intelligence; Models of Computation; Mathematics of Computing; Computer Communication Networks; Data Science
• Persona (resp. second.): DebKalyanmoy; GoodmanErik; Coello CoelloCarlos A; KlamrothKathrin; MiettinenKaisa; MostaghimSanaz; ReedPatrick
• Note generali: Includes index.
• Sommario/riassunto: This book constitutes the refereed proceedings of the 10th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2019 held in East Lansing, MI, USA, in March 2019. The 59 revised full papers were carefully reviewed and selected from 76 submissions. The papers are divided into 8 categories, each representing a key area of current interest in the EMO field today. They include theoretical developments, algorithmic developments, issues in many-objective optimization, performance metrics, knowledge extraction and surrogate-based EMO, multi-objective combinatorial problem solving, MCDM and interactive EMO methods, and applications.
• Titolo autorizzato: Evolutionary Multi-Criterion Optimization
• ISBN: 3-030-12598-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996466462003316
• Lo trovi qui: Univ. di Salerno
• Serie: Theoretical Computer Science and General Issues, . 2512-2029 ; ; 11411