Metaheuristics for Machine Learning: New Advances and Tools - Couverture rigide

Couverture rigide

ISBN 10 : 9811938873 ISBN 13 : 9789811938870

Editeur : Springer Verlag, Singapore, 2023

Synopsis

Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems.

A propos du livre

À propos de l?auteur

Mansour Eddaly is an assistant professor in the College of Business and Economics at Qassim University (KSA). His current research interests mainly involve combinatorial optimization, metaheuristics, and computational intelligence.

Bassem Jarboui is Full Professor of Operational Research at Sfax University, Tunisia, where he also completed his PhD. Currently, he is working at the Higher Colleges of Technology, Abu Dhabi, UAE. He has edited seven books and two special journal issues. He has also organized and chaired five international conferences. He has published over 130 scientific papers, including articles, contributions to edited proceedings, and book chapters.

Patrick Siarry received his PhD from the University of Paris 6 in 1986 and his Doctor of Sciences (Habilitation) from the University of Paris 11 in 1994. He first became involved in the development of analogue and digital models of nuclear power plants at Électricité de France (E.D.F.). He has been Professor of Automatics and Informatics since 1995. His main research interest is in the applications of new stochastic global optimization heuristics to various engineering fields.

Détails de l'édition

• Éditeur: Springer Verlag, Singapore
• Date d'édition: 2023
• Langue: anglais
• ISBN 10: 9811938873
• ISBN 13: 9789811938870
• Reliure: Relié
• Nombre de pages: 238
• Éditeur: Eddaly Mansour, Jarboui Bassem, Siarry Patrick
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne