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Advanced Engineering Optimization Through Intelligent Techniques de Ravipudi Venkata Rao

Advanced Engineering Optimization Through Intelligent Techniques: Lecture Notes in Electrical Engineering, cartea 1226

Editat de Ravipudi Venkata Rao, Jan Taler
en Limba Engleză Hardback – 15 oct 2024

Considerăm acest volum, publicat sub egida Springer, o resursă tehnică de prim rang pentru inginerii care caută să implementeze algoritmi de optimizare de ultimă generație. Advanced Engineering Optimization Through Intelligent Techniques reunește cercetările prezentate la conferința AEOTIT 2023, punând un accent deosebit pe algoritmii meta-heuristici moderni, precum Jaya, Rao, TLBO (Teaching–Learning-Based Optimization) și Grey Wolf. Într-un peisaj industrial unde eficiența este critică, volumul demonstrează cum aceste tehnologii depășesc limitările metodelor clasice de calcul.

Structura cărții este riguros organizată pe studii de caz aplicate: de la optimizarea parametrilor de strunjire a oțelului EN24 prin metoda Taguchi (Capitolul 1), până la dimensionarea sistemelor hibride de energie regenerabilă PV/vânt/baterie (Capitolul 7). Remarcăm integrarea metodelor de decizie multi-atribut (MADM) precum TOPSIS sau PROMETHEE, care permit cititorului să navigheze prin scenarii complexe de proiectare unde variabilele sunt adesea contradictorii.

Ca și Timothy Ganesan în Advances in Metaheuristics, editorii distilează experiența reală din industrie în principii acționabile, oferind o punte între cercetarea academică și aplicația practică. Această lucrare continuă direcția stabilită de Ravipudi Venkata Rao în Optimization Methods for Finite Element Analysis and Design, extinzând aplicabilitatea inteligenței artificiale dincolo de metoda elementului finit către discipline diverse precum ingineria chimică și electronică. Progresia de la algoritmi fundamentali la tehnici complexe de tip machine learning transformă acest volum într-un manual de referință pentru optimizarea sistemelor complexe.

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Specificații

ISBN-13: 9789819746538
ISBN-10: 9819746531
Pagini: 616
Ilustrații: X, 490 p. 100 illus.
Dimensiuni: 160 x 241 x 35 mm
Greutate: 1.19 kg
Ediția:2024
Editura: Springer
Colecția Lecture Notes in Electrical Engineering
Seria Lecture Notes in Electrical Engineering

Locul publicării:Singapore, Singapore

De ce să citești această carte

Recomandăm această carte cercetătorilor și inginerilor care au nevoie de soluții matematice robuste pentru probleme de proiectare non-liniare. Cititorul câștigă acces la o bibliotecă vastă de algoritmi meta-heuristici și metode de decizie (AHP, SWARA), esențiale pentru reducerea costurilor de producție și creșterea performanței tehnice. Este un instrument practic pentru cei care vor să aplice inteligența artificială în ingineria mecanică sau electrică.

Despre autor

Ravipudi Venkata Rao este un cercetător proeminent și editor specializat în tehnici de optimizare avansate, cunoscut în special pentru dezvoltarea algoritmilor Jaya și Rao, care se disting prin lipsa necesității reglării parametrilor specifici algoritmului. Alături de Jan Taler, acesta contribuie la seria Lecture Notes in Electrical Engineering, consolidând un corpus de lucrări care explorează intersecția dintre inteligența computațională și ingineria clasică. Opera sa se concentrează pe simplificarea proceselor decizionale complexe în producție și design industrial.

Descriere scurtă

This book comprises peer-reviewed papers presented at the 4th International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2023. The book combines contributions from academics and industry professionals and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil,  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,  particle swarm optimization, gravitational search algorithm, ant lion optimization, dragonfly algorithm, teaching–learning-based optimization algorithm, grey wolf optimization, Jaya algorithm, Rao algorithms, many other latest meta-heuristic techniques, machine learning algorithms, and their applications. Various multi-attribute decision-making methods such as AHP, TOPSIS,  PROMETHEE, desirability function,  SWARA, R-method, BHARAT method, Taguchi 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.
 

Notă biografică

Ravipudi Venkata Rao is a Professor (Higher Administrative Grade) at the Department of Mechanical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India. He has more than 32 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 370 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 a visiting professor at the Cracow University of Technology, Poland; BITS Pilani Dubai Campus; and the Asian Institute of Technology, Bangkok. 
 
Jan Taler is a Senior Professor and Head of 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 400 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.
 

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

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.