Proceedings of 6th International Conference on Harmony Search, Soft Computing and Applications (eBook, PDF)

ICHSA 2020, Istanbul
Redaktion: Nigdeli, Sinan Melih; Yadav, Anupam; Bekdas, Gebrail; Kim, Joong Hoon

• Format: PDF

Produktbeschreibung

This book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Sixth International Conference on Harmony Search, Soft Computing and Applications held at Istanbul University, Turkey, in July 2020. Harmony Search (HS) is one of the most popular metaheuristic algorithms, developed in 2001 by Prof. Joong Hoon Kim and Prof. Zong Woo Geem, that mimics the improvisation process of jazz musicians to seek the best harmony. The book consists of research articles on novel and newly proposed optimization algorithms; the theoretical study of nature-inspired optimization algorithms; numerically established results of nature-inspired optimization algorithms; and real-world applications of optimization algorithms and synthetic benchmarking of optimization algorithms.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 438
• Erscheinungstermin: 16. November 2020
• Englisch
• ISBN-13: 9789811586033
• Artikelnr.: 60570655

Autorenporträt

About the Author text: Dr. Sinan Melih Nigdeli, Associative Professor, is Researcher in Structural Control and Optimization at Istanbul University - Cerrahpäa. He obtained his D.Phil. in Structural Engineering from Istanbul Technical University with a thesis subject of active control. He co-organized the 15th EU-ME Workshop: Metaheuristic and Engineering in Istanbul. In optimization, he organized several mini-symposiums or special sections in prestigious international events such as 12th International Congress on Mechanics (HSTAM2019), 9th International Congress on Computational Mechanics (GRACM 2018), the Biennial International Conference on Engineering Vibration (ICoEV-2015), 3rd International Conference on Multiple Criteria Decision Making (MCDM 2015), 11th World Congress on Computational Mechanics (WCCM2014), International Conference on Engineering and Applied Sciences Optimization (OPTI 2014), 11th Biennial International Conference on Vibration Problems (ICOVP2013), 3rd European Conference of Civil Engineering and 10th, 11th and 15th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM). He co-edited Metaheuristics and Optimization in Civil Engineering published by Springer, and he is one of the guest editors in 2017 special issue of KSCE Journal of Civil Engineering. He has authored about 250 papers for journals and scientific events. Professor Joong Hoom Kim, Dean of Engineering College of Korea University, obtained his Ph.D. degree from the University of Texas at Austin in 1992 with the thesis title "Optimal replacement/rehabilitation model for water distribution systems". Prof. Kim's major areas of interest include optimal design and management of water distribution systems, application of optimization techniques to various engineering problems and development and application of evolutionary algorithms. He has been the Faculty of the School of Civil, Environmental and Architectural Engineering at Korea University since 1993 and is now serving as the Dean of Engineering College. He has hosted international conferences including APHW 2013, ICHSA 2014 & 2015 and HIC 2016 and has given keynote speeches at many international conferences including AOGS 2013, GCIS 2013, SocPros 2014 & 2015, SWGIC 2017 and RTORS 2017. He is a member of National Academy of Engineering of Korea since 2017. Dr. Gebrail Bekdä, Associative Professor, is Researcher in Structural Control and Optimization at Istanbul University - Cerrahpäa. He obtained his D.Phil. in Structural Engineering from Istanbul University with a thesis subject of design of cylindrical walls. He co-organized the 15th EU-ME Workshop: Metaheuristic and Engineering in Istanbul. In optimization, he organized several mini-symposiums or special sections in prestigious international events such as 12th International Congress on Mechanics (HSTAM2019), 9th International Congress on Computational Mechanics (GRACM 2018), the BiennialInternational Conference on Engineering Vibration (ICoEV-2015), 3rd International Conference on Multiple Criteria Decision Making (MCDM 2015), 11th World Congress on Computational Mechanics (WCCM2014), International Conference on Engineering and Applied Sciences Optimization (OPTI 2014), 11th Biennial International Conference on Vibration Problems (ICOVP2013), 3rd European Conference of Civil Engineering and 10th, 11th and 15th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM). He co-edited Metaheuristics and Optimization in Civil Engineering published by Springer, and he is one of the guest editors in 2017 special issue of KSCE Journal of Civil Engineering. He has authored about 250 papers for journals and scientific events. Dr. Anupam Yadav is an Assistant Professor, Department of Mathematics, Dr. BR Ambedkar National Institute of Technology Jalandhar, India. His research area includes numerical optimization, soft computing and artificial intelligence, and he has more than ten years research experience in the areas of soft computing and optimization. Dr. Yadav has done Ph.D. in soft computing from Indian Institute of Technology Roorkee, and he worked as a Research Professor at Korea University. He has published more than twenty-five research articles in journals of international repute and has published more than fifteen research articles in conference proceedings. Dr. Yadav, has authored a textbook entitled "An introduction to neural network methods for differential equations". He has edited three books which are published by AISC and Springer Series. Dr. Yadav was General Chair, Convener and member of steering committee of several international conferences. He is an Associate Editor in the journal of the experimental and theoretical artificial intelligence. Dr. Yadav is a member of various research societies.

Inhaltsangabe

Performance Quantification of Search Operators in Hybrid Harmony Search Algorithms.- Harmony Search Algorithms for Optimizing Extreme Learning Machines.- Freestyle Rap Harmony Search (FRHS) for Engineering Problem Optimization.- Improvement of Voltage Profile and Loss Reduction based on Optimal Placement and Sizing of Renewable Distributed Generations using 4-Rule Harmony Search Algorithm.- Control of a jacket platform under wave load using ATMD and optimization by HSA.- Hybrid Harmony Search Algorithm for Optimum Design of Vibration Absorber System for Adjacent Buildings.- The Effect of Initial Values on Metaheuristic-based Optimum Design of Tuned Mass Dampers.- The Comparison of Classical and Artificial Neural Network-based Formulations for Tuned Mass Damper Optimization.