Keynote Speakers

 Prof. Joong Hoon Kim
Harmony Search Variants and Their Application to Engineering Problems


Among optimization methods, metaheuristic algorithms have shown their capabilities for finding the near-optimal solution for which analytical methods may not be able to produce an acceptable solution within a reasonable computation time, especially when the global optimum is surrounded by many local optima. Therefore, the need of using these approaches is understood by the optimization community.
The Harmony Search (HS), published in 2001, is derived from the concepts of musical improvisations and harmony knowledge, and is considered as one of the well-known metaheuristic algorithms. So far, the HS has proved its advantages over other optimizers and there are many improved variations of the HS in the literature. In recent years, it has become obvious that the concentration on a sole optimization method is rather restrictive. A skilled combination of concepts from different optimizers can provide more efficient results and a higher flexibility when dealing with large-scale problems, especially with large scale engineering problems.
This keynote speech will first introduce the concept of Harmony Search and the potential abilities of its variants including improved and/or hybridized versions. In addition, applications to some typical engineering problems will be discussed along with the results.


Professor Kim, a faculty of Korea University in the School of Civil, Environmental and Architectural Engineering, 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.
His publication includes “A New Heuristic Optimization Algorithm: Harmony Search”, Simulation, February 2001, Vol. 76, pp 60-68, which has been cited over 3,300 times by other journals of diverse research areas. His keynote speeches include “Optimization Algorithms as Tools for Hydrological Science” in the Annual Meeting of Asia Oceania Geosciences Society held in Brisbane, Australia in June of 2013, “Recent Advances in Harmony Search Algorithm” in the 4 th Global Congress on Intelligent Systems (GCIS 2013) held in Hong Kong, China in December of 2013, and “Improving the convergence of Harmony Search Algorithm and its variants” in the 5 th International Conference on Soft Computing For Problem Solving (SocProS’ 2014) held in Saharanpur, India in December of 2014, “Performance of Evolutionary Algorithms on the Fitness Landscape of Specific Problems” in the 5th International Conference on Soft Computing For Problem Solving (SocProS’ 2015) held in Silcha, India in December of 2015, “Optimization Algorithms for Smart Water Management: which one to choose?” in the 12 th International Conference on Hydroinformatics (HIC 2016) in Incheon, South Korea in August of 2016. He hosted several conferences inclufing the 6 th Conference of The Asia Pacific Association of Hydrology and Water Resources (APHW 2013) and the 1 st and 2 nd International Conferences on Harmony Search Algorithm (ICHSA 2015).


Prof. Ajit Kumar Verma
A Computational Intelligence Framework for Optimal Maintenance of Large Engineering Systems


Maintenance Optimization for Large Engineering Systems is a key area in asset management. Machinery Health Monitoring is increasingly being adopted by industries not only as a means for asset management but also for ensuring high levels of vailability with its consequent gains by ascertaining the impact in enhancing availability at plant level and in a cost effective manner. Quantification of certain features such as detect-ability and prognostic ability and a  fuzzy logic approach for doing so are presented. These features are then incorporated in a multi-objective maintenance optimization model based on Markov process and genetic algorithm, the results of which serve as decision support system for the selection of health monitoring. A demonstrative  case is presented to illustrate this idea.



Ajit Kumar Verma is a Professor(Technical Safety) for about six years in Norway and is working with ATØM, Western Norway University of Applied Sciences, Haugesund, Norway. He was a Professor/Senior (HAG) scale Professor with the Reliability Engg Department of Electrical Engineering at IIT Bombay for around 15 years with a research focus in Reliability, Risk & Safety Engineering and Soft Computing Applications in various domains.  He is also a Guest Professor at Lulea University of Technology, Sweden and was an adjunct at the University of Stavanger. He has been honored with ‘Honorary Professor’ at Amity University in India. He is the Springer Book Series Editor of Asset Analytics: Performance and Safety Management as well as the Springer Book Series Editor of  Reliable & Sustainable Electric Power and Energy Systems Management and has jointly edited books published by Springer titled 1.Reliability and Risk Evaluation of Wind Integrated Power Systems 2.Reliability Modeling and Analysis of Smart Power Systems 3.Current Trends in Reliability, Availability, Maintainability and Safety- An Industry Perspective 4.Sustainable Power Systems and is also an author of books titled 1.Fuzzy Reliability Engineering Concepts and Applications (Narosa), 2.Optimal Maintenance of Large Engineering System-Practical Strategies for Effective Decision Making(Narosa), 3.Reliability and Safety Engineering (Springer) 4.Dependability of Networked Computer Based Systems (Springer), 5.Risk Management of Non-Renewable Energy Systems(Springer). He has over 250 publications in various journals and conferences and has been a supervisor for 37 Phd theses.He is a senior member of IEEE and a life fellow of IETE. He has been the Editor-in-Chief of OPSEARCH published by Springer(Jan 2008- Jan 2011) as well as the Founder Editor-in-Chief of International Journal of Systems Assurance Engineering and Management(IJSAEM) published by Springer and an Editor-in-Chief of Journal of Life Cycle Reliability and Safety Engineering(Springer). He is on the editorial board of various international journals. He has served as a Guest Editor of Special Issues of journals including IEEE Transactions on Reliability.


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