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

Başlık
Metaheuristics for Machine Learning New Advances and Tools

Yazar
Eddaly, Mansour. editor.

ISBN
9789811938887

Basım Bilgisi
1st ed. 2023.

Fiziksel Tanımlama
XV, 223 p. 1 illus. online resource.

Seri
Computational Intelligence Methods and Applications,

İçerik
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.

Yazar Ek Girişi
Eddaly, Mansour.
 
Jarboui, Bassem.
 
Siarry, Patrick.

Tüzel Kişi Ek Girişi
SpringerLink (Online service)

Elektronik Erişim
https://doi.org/10.1007/978-981-19-3888-7


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