Cover image for Metaheuristics for Machine Learning New Advances and Tools
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.
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