Engineering Applications of Modern Metaheuristics
by
 
Akan, Taymaz. editor.

Title
Engineering Applications of Modern Metaheuristics

Author
Akan, Taymaz. editor.

ISBN
9783031168321

Edition
1st ed. 2023.

Physical Description
VI, 209 p. 96 illus., 70 illus. in color. online resource.

Series
Studies in Computational Intelligence, 1069

Contents
Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup -- Metaheuristic algorithms in IoT: Optimized Edge Node Localization -- Jaya algorithm versus differential evolution: a comparative case study on optic disc localization in eye fundus images -- Minimum transmission power control for the Internet of Things with swarm intelligence algorithms -- An Enhanced Gradient Based Optimized Controller for Load Frequency Control of a Two Area Automatic Generation Control System -- A meta-heuristic algorithm based on the happiness model -- Application of Metaheuristic Techniques for Enhancing the Financial Profitability of Wind Power Generation Systems -- Optimization of Demand Response -- Fitting curves of ruminal degradation using a metaheuristic approach -- Optimizing a Real Case Assembly Line Balancing Problem Using Various Techniques -- Multi-Circle Detection Using Multimodal Optimization.

Subject Term
Computational intelligence.
 
Artificial intelligence.
 
Engineering -- Data processing.
 
Data Engineering.

Added Author
Akan, Taymaz.
 
Anter, Ahmed M.
 
Etaner-Uyar, A. Şima.
 
Oliva, Diego.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-3-031-16832-1


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book527131-1001ONLINEElektronik Kütüphane