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  • © 2020

Advanced Engineering Optimization Through Intelligent Techniques

Select Proceedings of AEOTIT 2018

  • Presents select proceedings of the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2018
  • Discusses advanced optimization techniques and their applications across various engineering disciplines
  • Includes examples of different optimization algorithms, multi-objective and many-objective optimization techniques, and artificial neural networks based optimization

Conference proceedings info: AEOTIT 2018.

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Table of contents (76 papers)

  1. Front Matter

    Pages i-xviii
  2. Jaya: A New Meta-heuristic Algorithm for the Optimization of Braced Dome Structures

    • Tayfun Dede, Maksym Grzywiński, R. Venkata Rao
    Pages 13-20
  3. Damage Detection of Truss Employing Swarm-Based Optimization Techniques: A Comparison

    • Swarup K. Barman, Dipak K. Maiti, Damodar Maity
    Pages 21-37
  4. Optimization of Water Distribution Networks Using Cuckoo Search Algorithm

    • Maduukuri Naveen Naidu, Pankaj Sriman Boindala, A. Vasan, Murari R. R. Varma
    Pages 67-74
  5. Modeling 3D WSN to Maximize Coverage Using Harmony Search Scheme

    • Deepika Sharma, Vrinda Gupta
    Pages 95-111
  6. An Efficient Jaya Algorithm for Multi-objective Permutation Flow Shop Scheduling Problem

    • Aseem Kumar Mishra, Divya Shrivastava, Bhasker Bundela, Surabhi Sircar
    Pages 113-125
  7. Comparative Analysis of Fruit Categorization Using Different Classifiers

    • Chirag C. Patel, Vimal K. Chaudhari
    Pages 153-164
  8. Prediction of Factor of Safety For Slope Stability Using Advanced Artificial Intelligence Techniques

    • Abhiram Chebrolu, Suvendu Kumar Sasmal, Rabi Narayan Behera, Sarat Kumar Das
    Pages 173-181
  9. Jaya Algorithm Based Intelligent Color Reduction

    • Raghu Vamshi Hemadri, Ravi Kumar Jatoth
    Pages 193-201

About this book

This book comprises select peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2018. The book combines contributions from academics and industry professionals, and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, automobile, electrical, chemical, computer and electronics engineering. Different optimization techniques and algorithms such as genetic algorithm (GA), differential evolution (DE), simulated annealing (SA), particle swarm optimization (PSO), artificial bee colony (ABC) algorithm, artificial immune algorithm (AIA), teaching-learning-based optimization (TLBO) algorithm and many other latest meta-heuristic techniques and their applications are discussed. This book will serve as a valuable reference for students, researchers and practitioners and help them in solving a wide range of optimization problems. 

Editors and Affiliations

  • Sardar Vallabhbhai National Institute of Technology, Surat, Surat, India

    R. Venkata Rao

  • Cracow University of Technology, Kraków, Poland

    Jan Taler

About the editors

Dr. R. Venkata Rao is a Professor at the Department of Mechanical Engineering, S. V. National Institute of Technology, Surat, India. He has more than 28 years of teaching and research experience. He completed his B.Tech. in 1988, M.Tech. in 1991, Ph.D. in 2002, and obtained his D.Sc. in 2017. Dr. Rao’s research interests include: advanced optimization algorithms and their applications to design, thermal and manufacturing engineering, and fuzzy multiple attribute decision-making (MADM) methods and their industrial applications. He has more than 300 research papers to his credit, published in national and international journals and conference proceedings. He has received national and international awards for his research efforts. He is a reviewer for more than 80 national and international journals and serves on the editorial boards of several international journals. He has also been a Visiting Professor at Cracow University of Technology, Poland in January 2016, November 2016, and June 2018, at BITS Pilani Dubai campus in 2017, and at the Asian Institute of Technology, Bangkok in 2008, 2010, 2015 and 2018. He has authored six books entitled “Decision Making in the Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods” (Volume 1 (2007) and Volume 2 (2013)), “Advanced Modeling and Optimization of Manufacturing Processes: International Research and Development” (2010), “Mechanical Design Optimization Using Advanced Optimization Techniques” (2012), “Teaching-Learning-Based Optimization Algorithm And Its Engineering Applications” (2016), and “Jaya: An Advanced Optimization Algorithm And Its Engineering Applications” (2018), all of which were published by Springer.

Dr. Jan Taler is a Professor and Director of the Institute of Thermal Power Engineering of Cracow University of Technology, Poland. He has more than 40 years of teaching and research experience, having completed his M.Sc. in 1974, Ph.D. in 1977, and D.Sc. in 1987. He has published about 300 articles in scientific journals. He has authored 10 books and over 20 chapters in scientific monographs and entries in the Encyclopedia of Thermal Stresses. He conducts research in the field of heat transfer engineering and thermal power engineering with special interest in the following areas – inverse heat conduction problems, measurement of heat flux and heat transfer coefficient, ash fouling and slagging in steam boilers, dynamics of large steam boilers, and optimization of thermal systems. He has participated in many research projects funded by industry and the Polish Committee for Scientific Research. Many of his innovative technical solutions have been implemented in power plants.

Bibliographic Information

Buy it now

Buying options

eBook USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access