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

Başlık
Engineering Applications of Modern Metaheuristics

Yazar
Akan, Taymaz. editor.

ISBN
9783031168321

Basım Bilgisi
1st ed. 2023.

Fiziksel Tanımlama
VI, 209 p. 96 illus., 70 illus. in color. online resource.

Seri
Studies in Computational Intelligence, 1069

İçerik
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.

Konu Terimleri
Computational intelligence.
 
Artificial intelligence.
 
Engineering -- Data processing.
 
Data Engineering.

Yazar Ek Girişi
Akan, Taymaz.
 
Anter, Ahmed M.
 
Etaner-Uyar, A. Şima.
 
Oliva, Diego.

Tüzel Kişi Ek Girişi
SpringerLink (Online service)

Elektronik Erişim
https://doi.org/10.1007/978-3-031-16832-1


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