Del i serien Studies in Computational Intelligence

Engineering Applications of Modern Metaheuristics

Inbunden, Engelska, 2022

AvTaymaz Akan,Ahmed M. Anter,A. Şima Etaner-Uyar,Diego Oliva

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This book is a collection of various methodologies that make it possible for metaheuristics and hyper-heuristics to solve problems that occur in the real world. The researchers used several stochastic optimization methods in this book, including evolutionary algorithms and Swarm-based algorithms.

Produktinformation

Utgivningsdatum2022-12-05
Mått155 x 235 x 17 mm
Vikt534 g
FormatInbunden
SpråkEngelska
SerieStudies in Computational Intelligence
Antal sidor209
FörlagSpringer International Publishing AG
ISBN9783031168314

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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.