Springer Tracts in Nature-Inspired Computing

Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

Editors: Carbas, Serdar, Toktas, Abdurrahim, Ustun, Deniz (Eds.)

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  • Presents concise overviews of various nature-inspired metaheuristic algorithms
  • Provides solutions to specific engineering optimization problems with single and multi-objectives
  • Serves as a reference for researchers and practitioners in academia and industry
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eBook 128,39 €
price for Spain (gross)
  • ISBN 978-981-336-773-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 166,39 €
price for Spain (gross)
  • ISBN 978-981-336-772-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications. The chapters of the book provide concise overviews of various nature-inspired metaheuristic algorithms, defining their profits in obtaining the optimal solutions of tiresome engineering design problems that cannot be efficiently resolved via conventional mathematical-based techniques. Thus, the chapters report on advanced studies on the applications of not only the traditional, but also the contemporary certain nature-inspired metaheuristic algorithms to specific engineering optimization problems with single and multi-objectives. Harmony search, artificial bee colony, teaching learning-based optimization, electrostatic discharge, grasshopper, backtracking search, and interactive search are just some of the methods exhibited and consulted step by step in application contexts. The book is a perfect guide for graduate students, researchers, academicians, and professionals willing to use metaheuristic algorithms in engineering optimization applications.

About the authors

Serdar Carbas received his B.Sc. in the Department of Civil Engineering from Ataturk University, Erzurum, Turkey, and his M.Sc. and Ph.D. in the Department of Engineering Sciences from Middle East Technical University (METU), Ankara, Turkey. He was  Visiting Scholar at the University of California, Los Angeles (UCLA), CA, USA (August 2011–September 2012). His current research fields cover the use of metaheuristic optimization techniques that are found quite effective in obtaining the solution of combinatorial optimization problems which are based on natural phenomena in the field of optimum design of structures. He has authored several book chapters and published more than 40 peer-reviewed research papers. He is Associate Professor at the Department of Civil Engineering in Karamanoglu Mehmetbey University, Karaman, Turkey. Also, he is Adjunct Associate Professor at the Civil Engineering Department of KTO Karatay University, Konya, Turkey.

Abdurrahim Toktas is Associate Professor at the Department of Electrical and Electronics Engineering, Karamanoglu Mehmetbey University, Karaman, Turkey. He received B.Sc. degree in Electrical and Electronics Engineering at Gaziantep University, Gaziantep, Turkey, in July 2002. He worked as Telecom Expert from November 2003 to December 2009 for Turk Telecom Company which is the national PSTN and wideband Internet operator. He received M.Sc. and Ph.D. degrees in Electrical and Electronics Engineering at Mersin University, Mersin, Turkey, in January 2010 and July 2014, respectively. He worked as Network Expert in the Department of Information Technologies at Mersin University from December 2009 to January 2015. He is an editorial board member of the Journal of Recent Advances in Electrical & Electronic Engineering. He is the author of more than ninety research items involving articles, conference proceedings, and projects. His current research interests include electromagnetic modelling, computational electromagnetics, microstrip/printed antenna designing, radar absorber material modelling, design of MIMO antennas, design of UWB antennas, optimization algorithms, machine learnings, and surrogate model.

Deniz Ustun received his B.Sc. degree from the Department of Computer Science Engineering, Istanbul University, Istanbul, Turkey, in 2001. Besides, he received his M.Sc. and Ph.D. degrees from the Department of Electrical and Electronics Engineering, Mersin University, Mersin, Turkey, in 2009 and 2017, respectively. From 2003 to 2017, he was a senior lecturer in the Department of Software Engineering, Mersin University, Mersin, Turkey. Formerly, he was Assistant Professor in the Department of Computer Engineering, Karamanoglu Mehmetbey University, Karaman, Turkey, between 2017 and 2020. He has been working for the Department of Computer Engineering, Tarsus University, Tarsus, Turkey, since March 2020, as Assistant Professor. His current research interests include heuristic and artificial intelligence-based optimization algorithms, surrogate models, machine learning, microstrip antennas, and so forth.

Table of contents (18 chapters)

Table of contents (18 chapters)
  • Introduction and Overview: Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

    Pages 1-9

    Carbas, Serdar (et al.)

  • Harmony Search Algorithm for Structural Engineering Problems

    Pages 13-47

    Kayabekir, Aylin Ece (et al.)

  • Teaching Learning Based Optimum Design of Transmission Tower Structures

    Pages 49-64

    Artar, Musa (et al.)

  • Modified Artificial Bee Colony Algorithm for Sizing Optimization of Truss Structures

    Pages 65-92

    Degertekin, Sadik Ozgur (et al.)

  • Electrostatic Discharge Algorithm for Optimum Design of Real-Size Truss Structures

    Pages 93-109

    Aydogdu, Ibrahim (et al.)

Buy this book

eBook 128,39 €
price for Spain (gross)
  • ISBN 978-981-336-773-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 166,39 €
price for Spain (gross)
  • ISBN 978-981-336-772-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications
Editors
  • Serdar Carbas
  • Abdurrahim Toktas
  • Deniz Ustun
Series Title
Springer Tracts in Nature-Inspired Computing
Copyright
2021
Publisher
Springer Singapore
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-336-773-9
DOI
10.1007/978-981-33-6773-9
Hardcover ISBN
978-981-336-772-2
Series ISSN
2524-552X
Edition Number
1
Number of Pages
XII, 404
Number of Illustrations
60 b/w illustrations, 135 illustrations in colour
Topics