Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

1. Front Matter

   Pages i-xii

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2. Introduction and Overview: Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

   • Serdar Carbas, Abdurrahim Toktas, Deniz Ustun

   Pages 1-9

3. Civil and Structural Engineering

   1. Front Matter

      Pages 11-11

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   2. Harmony Search Algorithm for Structural Engineering Problems

      • Aylin Ece Kayabekir, Gebrail Bekdaş, Melda Yücel, Sinan Melih Nigdeli, Zong Woo Geem

      Pages 13-47

   3. Teaching Learning Based Optimum Design of Transmission Tower Structures

      • Musa Artar, Ayse T. Daloglu

      Pages 49-64

   4. Modified Artificial Bee Colony Algorithm for Sizing Optimization of Truss Structures

      • Sadik Ozgur Degertekin, Luciano Lamberti, Mehmet Sedat Hayalioglu

      Pages 65-92

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

      • Ibrahim Aydogdu, Tevfik Oguz Ormecioglu, Serdar Carbas

      Pages 93-109

   6. Solving of Distinct Engineering Optimization Problems Using Metaheuristic Algorithms

      • Ali Mortazavi, Vedat Togan

      Pages 111-136

   7. The Design of Trapezoidal Corrugated Web Beams Using Firefly Method

      • Ferhat Erdal, Osman Tunca, Erkan Dogan, Ramazan Ozcelik

      Pages 137-152

   8. Designing Fuzzy Controllers for Frame Structures Based on Ground Motion Prediction Using Grasshopper Optimization Algorithm: A Case Study of Tabriz, Iran

      • Mahdi Azizi

      Pages 153-180

   9. Optimization and Artificial Neural Network Models for Reinforced Concrete Members

      • Melda Yücel, Sinan Melih Nigdeli, Aylin Ece Kayabekir, Gebrail Bekdaş

      Pages 181-199

   10. Statistical Investigation of the Robustness for the Optimization Algorithms

       • Esra Uray, Huseyin Hakli, Serdar Carbas

       Pages 201-224

   11. Optimum Design of Beams with Varying Cross-Section by Using Application Interface

       • Osman Tunca

       Pages 225-249

   12. Metaheuristic-Based Structural Control Methods and Comparison of Applications

       • Serdar Ulusoy, Aylin Ece Kayabekir, Sinan Melih Nigdeli, Gebrail Bekdaş

       Pages 251-276

   13. Evolutionary Structural Optimization—A Trial Review

       • Fatih Mehmet Özkal

       Pages 277-308

   14. An Extensive Review of Charged System Search Algorithm for Engineering Optimization Applications

       • Siamak Talatahari, Mahdi Azizi

       Pages 309-334

4. Electrical and Electronics, Computer, and Communication Engineering

   1. Front Matter

      Pages 335-335

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   2. Artificial Bee Colony Algorithm and Its Application to Content Filtering in Digital Communication

      • Bilge Kagan Dedeturk, Bahriye Akay, Dervis Karaboga

      Pages 337-355

   3. Multi-objective Design of Multilayer Microwave Dielectric Filters Using Artificial Bee Colony Algorithm

      • Abdurrahim Toktas

      Pages 357-372

   4. Multi-objective Sparse Signal Reconstruction in Compressed Sensing

      • Murat Emre Erkoc, Nurhan Karaboga

      Pages 373-396

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 applicationcontexts. The book is a perfect guide for graduate students, researchers, academicians, and professionals willing to use metaheuristic algorithms in engineering optimization applications.

• Nature-Inspired Optimization Algorithms
• Metaheuristics
• Design Optimization
• Discrete And Combinatorial Optimization
• Engineering Design

• Department of Civil Engineering, Karamanoglu Mehmetbey University, Karaman, Turkey

  Serdar Carbas

• Department of Electrical and Electronics Engineering, Karamanoglu Mehmetbey University, Karaman, Turkey

  Abdurrahim Toktas

• Department of Computer Engineering, Tarsus University, Tarsus, Turkey

  Deniz Ustun

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.

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