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
:
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