Artificial Evolution : 14th International Conference, Évolution Artificielle, EA 2019, Mulhouse, France, October 29¿30, 2019, Revised Selected Papers

Lhassane Idoumghar

ISBN 10: 3030457141 / ISBN 13: 9783030457143

Verlag: Springer International Publishing, Springer International Publishing, 2020

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Artificial Evolution, EA 2019, held in Mulhouse, France, in October 2019.The 16 revised papers were carefully reviewed and selected from 33 submissions. The papers cover a wide range of topics in the field of artificial evolution, such as evolutionary computation, evolutionary optimization, co-evolution, artificial life, population dynamics, theory, algorithmic and modeling, implementations, application of evolutionary paradigms to the real world (industry, biosciences.), other biologically-inspired paradigms (swarm, artificial ants, artificial immune systems, cultural algorithms.), memetic algorithms, multi-objective optimization, constraint handling, parallel algorithms, dynamic optimization, machine learning and hybridization with other soft computing techniques.

Bestandsnummer des Verkäufers 9783030457143

Bibliografische Details

• Titel: Artificial Evolution : 14th International Conference, Évolution Artificielle, EA 2019, Mulhouse, France, October 29¿30, 2019, Revised Selected Papers
• Verlag: Springer International Publishing, Springer International Publishing
• Erscheinungsjahr: 2020
• Sprache: Englisch
• ISBN-10: 3030457141
• ISBN-13: 9783030457143
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 235B x 155 H x 13 T Millimeter Breite: 235 mm, Höhe: 155 mm, Tiefe: 13 mm
• Gewicht: 365 Gramm

Über diesen Titel

Inhaltsangabe

This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Artificial Evolution, EA 2019, held in Mulhouse, France, in October 2019.

The 16 revised papers were carefully reviewed and selected from 33 submissions. The papers cover a wide range of topics in the field of artificial evolution, such as evolutionary computation, evolutionary optimization, co-evolution, artificial life, population dynamics, theory, algorithmic and modeling, implementations, application of evolutionary paradigms to the real world (industry, biosciences...), other biologically-inspired paradigms (swarm, artificial ants, artificial immune systems, cultural algorithms...), memetic algorithms, multi-objective optimization, constraint handling, parallel algorithms, dynamic optimization, machine learning and hybridization with other soft computing techniques.