Data-Driven Evolutionary Optimization : Integrating Evolutionary Computation, Machine Learning and Data Science / / by Yaochu Jin, Handing Wang, Chaoli Sun
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| Autore: |
Jin Yaochu
|
| Titolo: |
Data-Driven Evolutionary Optimization : Integrating Evolutionary Computation, Machine Learning and Data Science / / by Yaochu Jin, Handing Wang, Chaoli Sun
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Edizione: | 1st ed. 2021. |
| Descrizione fisica: | 1 online resource (408 pages) |
| Disciplina: | 620.00285 |
| Soggetto topico: | Engineering - Data processing |
| Computational intelligence | |
| Artificial intelligence | |
| Data Engineering | |
| Computational Intelligence | |
| Artificial Intelligence | |
| Persona (resp. second.): | WangHanding |
| SunChaoli | |
| Nota di contenuto: | Introduction to Optimization -- Classical Optimization Algorithms -- Evolutionary and Swarm Optimization -- Introduction to Machine Learning -- Data-Driven Surrogate-Assisted Evolutionary Optimization -- Multi-Surrogate-Assisted Single-Objective Optimization -- Surrogate-Assisted Multi-Objective Evolutionary Optimization. |
| Sommario/riassunto: | Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning, and metaheuristics. Written by world-leading academic researchers who are extremely experienced in industrial applications, this self-contained book is the first of its kind that provides comprehensive background knowledge, particularly practical guidelines, and state-of-the-art techniques. New algorithms are carefully explained, further elaborated with pseudocode or flowcharts, and full working source code is made freely available. This is followed by a presentation of a variety of data-driven single- and multi-objective optimization algorithms that seamlessly integrate modern machine learning such as deep learning and transfer learning with evolutionary and swarm optimization algorithms. Applications of data-driven optimization ranging from aerodynamic design, optimization of industrial processes, to deep neural architecture search are included. |
| Titolo autorizzato: | Data-Driven Evolutionary Optimization |
| ISBN: | 9783030746407 |
| 3030746402 | |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910488717903321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Studies in Computational Intelligence, . 1860-9503 ; ; 975