Advertisement

Advanced Engineering Optimization Through Intelligent Techniques

Select Proceedings of AEOTIT 2018

  • R. Venkata Rao
  • Jan Taler
Conference proceedings

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 949)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Tayfun Dede, Maksym Grzywiński, R. Venkata Rao
    Pages 13-20
  3. Swarup K. Barman, Dipak K. Maiti, Damodar Maity
    Pages 21-37
  4. Maduukuri Naveen Naidu, Pankaj Sriman Boindala, A. Vasan, Murari R. R. Varma
    Pages 67-74
  5. Deepika Sharma, Vrinda Gupta
    Pages 95-111
  6. Aseem Kumar Mishra, Divya Shrivastava, Bhasker Bundela, Surabhi Sircar
    Pages 113-125
  7. Chirag C. Patel, Vimal K. Chaudhari
    Pages 153-164
  8. Abhiram Chebrolu, Suvendu Kumar Sasmal, Rabi Narayan Behera, Sarat Kumar Das
    Pages 173-181
  9. Raghu Vamshi Hemadri, Ravi Kumar Jatoth
    Pages 193-201
  10. Aparna Chaparala, Radhika Sajja, K. Karteeka Pavan, Sreelatha Moturi
    Pages 223-230
  11. Rahul Kumar Chaurasiya, Mohd Imroze Khan, Deeksha Karanjgaokar, B. Krishna Prasanna
    Pages 253-264
  12. Akbar Basha Shaik, Debasish Sarkar
    Pages 265-274
  13. B. Vinoth Kumar, S. Sabareeswaran, G. Madumitha
    Pages 291-311
  14. Seema A. Nihalani, Nandini Moondra, A. K. Khambete, R. A. Christian, N. D. Jariwala
    Pages 313-322
  15. R. Jaya Lakshmi, T. Mary Neebha
    Pages 337-349
  16. Radhika Sajja, K. Karteeka Pavan, Ch. Srinivasa Rao, Swapna Dhulipalla
    Pages 371-379
  17. Sheeja P. George, Johney Isaac, Jacob Philip
    Pages 431-439
  18. K. N. Hendre, B. D. Bachchhav
    Pages 451-461
  19. B. Singaravel, S. Deva Prasad, K. Chandra Shekar, K. Mangapathi Rao, G. Gowtham Reddy
    Pages 527-536

About these proceedings

Introduction

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. 

Keywords

Optimization techniques Multi-objective optimization Evolutionary algorithms Swarm intelligence Bio and social inspired algorithms Artificial neural networks Fuzzy logic Multi-attribute decision making techniques AEOTIT 2018

Editors and affiliations

  • R. Venkata Rao
    • 1
  • Jan Taler
    • 2
  1. 1.Sardar Vallabhbhai National Institute of Technology, SuratSuratIndia
  2. 2.Cracow University of TechnologyKrakówPoland

Bibliographic information

Industry Sectors
Pharma
Automotive
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering