Metaheuristics for Machine Learning New Advances and Tools
by
 
Eddaly, Mansour. editor.

Title
Metaheuristics for Machine Learning New Advances and Tools

Author
Eddaly, Mansour. editor.

ISBN
9789811938887

Edition
1st ed. 2023.

Physical Description
XV, 223 p. 1 illus. online resource.

Series
Computational Intelligence Methods and Applications,

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.

Added Author
Eddaly, Mansour.
 
Jarboui, Bassem.
 
Siarry, Patrick.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-981-19-3888-7


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book520355-1001XX(520355.1)Elektronik Kütüphane