EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII

Michael Emmerich

ISBN 10: 3319841335 / ISBN 13: 9783319841335

Editore: Springer International Publishing, Springer International Publishing Jul 2018, 2018

Riguardo questo articolo

Neuware -This book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems. It provides extended versions of selected papers from various fields of science such as computer science, mathematics and engineering that were presented at EVOLVE 2013 held in July 2013 at Leiden University in the Netherlands. The internationally peer-reviewed papers include original work on important topics in both theory and applications, such as the role of diversity in optimization, statistical approaches to combinatorial optimization, computational game theory, and cell mapping techniques for numerical landscape exploration. Applications focus on aspects including robustness, handling multiple objectives, and complex search spaces in engineering design and computational biology.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 220 pp. Englisch.

Codice articolo 9783319841335

Dati bibliografici

• Titolo: EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII
• Editore: Springer International Publishing, Springer International Publishing Jul 2018
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 3319841335
• ISBN 13: 9783319841335
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 13 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 13 millimetri di profondità
• Peso: 341 grammi

Descrizione articolo

Riassunto

This book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems. It provides extended versions of selected papers from various fields of science such as computer science, mathematics and engineering that were presented at EVOLVE 2013 held in July 2013 at Leiden University in the Netherlands. The internationally peer-reviewed papers include original work on important topics in both theory and applications, such as the role of diversity in optimization, statistical approaches to combinatorial optimization, computational game theory, and cell mapping techniques for numerical landscape exploration. Applications focus on aspects including robustness, handling multiple objectives, and complex search spaces in engineering design and computational biology.