Engineering applications of modern metaheuristics / Taymaz Akan, Ahmed M. Anter, A. Sima Etaner-Uyar, Diego Oliva, editors.
Akan, Taymaz, editor.; Anter, Ahmed M., editor.; Etaner-Uyar, A. Şima, editor.; Oliva, Diego, editor.
2023
QA76.9.A43
Available Online

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Title Engineering applications of modern metaheuristics / Taymaz Akan, Ahmed M. Anter, A. Sima Etaner-Uyar, Diego Oliva, editors.
ISBN 9783031168321 (electronic bk.)
3031168321 (electronic bk.)
9783031168314
3031168313
DOI https://doi.org/10.1007/978-3-031-16832-1
Published Cham, Switzerland : Springer, 2023.
Language English
Description 1 online resource : illustrations (black and white, and color).
Item Number 10.1007/978-3-031-16832-1 doi
Call Number QA76.9.A43
Dewey Decimal Classification 005.13
Summary 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. This book contains chapters that make use of metaheuristics techniques. The application fields range from image processing to transmission power control, and case studies and literature reviews are included to assist the reader. Furthermore, some chapters present cutting-edge methods for load frequency control and IoT implementations. In this sense, the book offers both theoretical and practical contents in the form of metaheuristic algorithms. The researchers used several stochastic optimization methods in this book, including evolutionary algorithms and Swarm-based algorithms. The chapters were written from a scientific standpoint. As a result, the book is primarily aimed at undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, but it can also be used in courses on Artificial Intelligence, among other things. Similarly, the material may be beneficial to research in evolutionary computation and artificial intelligence communities.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Akan, Taymaz, editor.
Anter, Ahmed M., editor.
Etaner-Uyar, A. Şima, editor.
Oliva, Diego, editor.
Series Studies in computational intelligence ; v. 1069.
Available in Other Form Engineering applications of modern metaheuristics.
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All Resources
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.

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