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Advanced Engineering Optimization Through Intelligent Techniques: Select Proceedings of AEOTIT 2022 de Ravipudi Venkata Rao

Advanced Engineering Optimization Through Intelligent Techniques: Select Proceedings of AEOTIT 2022: Lecture Notes in Mechanical Engineering

Editat de Ravipudi Venkata Rao, Jan Taler
en Limba Engleză Paperback – 8 apr 2023
This book comprises peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2022. 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. The book discusses different optimization techniques and algorithms such as genetic algorithm, non-dominated sorting genetic algorithm-II, and III, differential search, particle swarm optimization, fruit fly algorithm, cuckoo search, teaching–learning-based optimization algorithm, grey wolf optimization, Jaya algorithm, Rao algorithms, and many other latest meta-heuristic techniques and their applications. Various multi-attribute decision-making methods such as AHP, TOPSIS, ELECTRE, PROMETHEE, DEMATEL, R-method, fuzzy logic, and their applications are also discussed. This book serves as a valuable reference for students, researchers, and practitioners and helps them in solving a wide range of optimization problems.
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Specificații

ISBN-13: 9789811992841
ISBN-10: 9811992843
Pagini: 724
Ilustrații: XV, 724 p. 299 illus., 209 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.25 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Mechanical Engineering

Locul publicării:Singapore, Singapore

Cuprins

Chapter 1. Process parameters optimization by Taguchi method and Whale optimization algorithm of Lathe turning on EN24 steel for prediction of surface roughness.- Chapter 2. Optimization of TWR and SR of superalloy Al/9.6B4C in EDM using advanced optimization techniques.- Chapter 3. Simulation and comparative analysis of sardar sarovar reservoir by meta-heuristic algorithm.- Chapter 4. Determination of Thickness and Refractive Index of Antireflection Coating Thin-Films from Reflectivity Spectrum using Jaya Optimization Algorithm.- Chapter 5. Optimization of worm gear drive for improving efficiency using RCGA.- Chapter 6. Comparing a Parameter Less Technique Jaya with Parameters Based Evolutionary Algorithms.- Chapter 7. Optimal Sizing of PV/Wind/Battery stand-alone hybrid renewable energy system using TLBO algorithm.- Chapter 8. MOJAYA optimization of machining parameters coupled with R-method for the generation of micro holes on GFRP composite using an in-house developed µ-ECDM system.- Chapter 9. Enhanced Fruit Fly Optimization Algorithm for Node Capture Attack in WSN.- Chapter 10. Optimization of Construction Scheduling with Rao Algorithm.- Chapter 11. Using Meta-Heuristic Optimization Methods in Solving Time-Cost-Quality Trade-off Problems.- Chapter 12. A Particle Swarm Optimization based model for Quality, Safety trade-off optimization under constraint duration and cost of construction project.- Chapter 13. Optimum design of pipe network using Rao algorithm.- Chapter 14. Multi-Objective Thermal Exchange Optimization for Truss structure.- Chapter 15. Shape optimization of structures considering varying geometrical and material parameters.

Notă biografică

R. Venkata Rao is a Professor (Higher Administrative Grade) at the Department of Mechanical Engineering, S. V. National Institute of Technology, Surat, India. He has more than 31 years of teaching and research experience. He completed his B.Tech. in 1988, M.Tech. in 1991, and Ph.D. in 2002, and obtained his D.Sc. in 2017. His research interests include advanced optimization algorithms and their applications to design, thermal and manufacturing engineering, fuzzy multiple attribute decision-making (MADM) methods, and their industrial applications. He has 8 authored books and over 350 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 over 80 national and international journals and serves on the editorial boards of several international journals. He has also been Visiting Professor at the Cracow University of Technology, Poland; BITSPilani Dubai Campus; and Asian Institute of Technology, Bangkok.
  Jan Taler is a Senior Professor in the Department of Energy of the Faculty of Environmental and Energy Engineering of Cracow University of Technology, Poland. He has more than 45 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 more than 380 articles in scientific journals. He has authored 12 books and over 25 chapters in scientific monographs and entries in the Encyclopedia of Thermal Stresses. He researches in the field of heat transfer engineering and thermal power engineering with a 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.

Textul de pe ultima copertă

This book comprises peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2022. 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. The book discusses different optimization techniques and algorithms such as genetic algorithm, non-dominated sorting genetic algorithm-II, and III, differential search, particle swarm optimization, fruit fly algorithm, cuckoo search, teaching–learning-based optimization algorithm, grey wolf optimization, Jaya algorithm, Rao algorithms, and many other latest meta-heuristic techniques and their applications. Various multi-attribute decision-making methods such as AHP, TOPSIS, ELECTRE, PROMETHEE, DEMATEL, R-method, fuzzy logic, and their applications are also discussed. This book serves as a valuable reference for students, researchers, and practitioners and helps them in solving a wide range of optimization problems.

Caracteristici

Presents proceedings of the International Conference on Advanced Engineering Optimization Through Intelligent Techniques Discusses advanced optimization techniques and their applications across various engineering disciplines Includes examples of different optimization algorithms, multi-objective and many-objective optimization techniques