Metaheuristics for Machine Learning: New Advances and Tools

Author:   Mansour Eddaly ,  Bassem Jarboui ,  Patrick Siarry
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2023
ISBN:  

9789811938870


Pages:   223
Publication Date:   14 March 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Metaheuristics for Machine Learning: New Advances and Tools


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Author:   Mansour Eddaly ,  Bassem Jarboui ,  Patrick Siarry
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2023
Weight:   0.530kg
ISBN:  

9789811938870


ISBN 10:   9811938873
Pages:   223
Publication Date:   14 March 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. From metaheuristics to automatic programming.- 2. Biclustering Algorithms Based on Metaheuristics: A Review.- 3. A Metaheuristic Perspective on Learning Classifier Systems.- 4. An evolutionary clustering approach using metaheuristics and unsupervised machine learning algorithms for customer segmentation.- 5. Applications of Metaheuristics in Parameter Optimization in Manufacturing Processes and Machine Health Monitoring.- 6. Evolving Machine Learning-based classifiers by metaheuristic approaches for underwater sonar target detection and recognition.- 7. Solving the Quadratic Knapsack Problem using a GRASP algorithm based on a multi-swap local search.- 8. Algorithmic vs Processing Manipulations to Scale Genetic Programming to Big Data Mining.- 9. Dynamic assignment problem of parking slots.

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Author Information

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.

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