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
:
Library | Material Type | Item Barcode | Shelf Number | [[missing key: search.ChildField.HOLDING]] | Status |
---|
Online Library | E-Book | 520355-1001 | XX(520355.1) | | Elektronik Kütüphane |