Evolutionary computation: techniques and applications
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Toronto
AAP, Apple Academic Press
[2017]
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | xxiv, 627 Seiten Diagramme 24 cm |
| ISBN: | 9781771883368 |
Internformat
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| 245 | 1 | 0 | |a Evolutionary computation |b techniques and applications |c edited by Ashish M. Gujarathi, PhD, B.V. Babu, PhD |
| 264 | 1 | |a Toronto |b AAP, Apple Academic Press |c [2017] | |
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| 650 | 4 | |a Evolutionary computation | |
| 650 | 4 | |a System engineering | |
| 650 | 4 | |a Mathematical optimization | |
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Datensatz im Suchindex
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|---|---|
| adam_text | CONTENTS
List of Contributors...........................................ix
List of Abbreviations........................................xiii
Preface.......................................................xix
About the Editors...........................................xxiii
PART 1. THEORY AND APPLICATIONS
IN ENGINEERING SYSTEMS..........................................1
1. Introduction....................................................3
Ashish M. Gujarathi and B. V. Babu
2. Bio-Mimetic Adaptations of Genetic Algorithm and Their
Applications to Chemical Engineering...........................21
Vibhu Trivedi and Manojkumar Ramteke
3. Surrogate-Assisted Evolutionary Computing Methods..............55
Saket Kansara, Sumeet Parashar, and Abdus Samad
4. Evolutionary Algorithms in Ironmaking Applications.............81
Tamoghna Mitra, Henrik Saxen, and Nirupam Chakraborti
5. Harmony Search Optimization for Multilevel Thresholding
in Digital Images.............................................113
Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar,
Marco Perez-Cisneros, and Valentín Osuna-Enciso
6. Swarm Intelligence in Software Engineering Design Problems....163
Tarun Kumar Sharma and Millie Pant
7. Gene Expression Programming in Nanotechnology Applications....195
Pravin M. Singru, Vishal Jain, Nikilesh Krishnakumar, A. Garg,
K. Tai, and V. Vijayaraghavan
PART 2. THEORY AND APPLICATIONS OF SINGLE OBJECTIVE
OPTIMIZATION STUDIES..........................................211
8. An Alternate Hybrid Evolutionary Method for Solving
MINLP Problems................................................213
Munawar A. Shaik and Ravindra D. Gudi
9. Differential Evolution for Optimal Design of Shell-and-Tube Heat
Exchangers.....................................................239
Munawar A. Shaik and B. V. Babu
10. Evolutionary Computation Based QoS-Aware Multicast Routing.....269
Manas Ranjan Kabat, Satya Prakash Sahoo, and Manoj Kumar Patel
11. Performance Assessment of the Canonical Genetic Algorithm:
A Study on Parallel Processing Via GPU Architecture............301
Paulo Fazendeiro and Paula Prata
12. An Efficient Approach for Populating Deep Web Repositories
Using SFLA.....................................................321
Shikha Mehta and Hema Banati
13. Closed Loop Simulation of Quadruple Tank Process Using Adaptive
Multi-Loop Fractional Order PID Controller Optimized Using
Bat Algorithm .................................................349
U. Sabura Banu
PART 3. THEORY AND APPLICATIONS OF SINGLE AND
MULTIOBJECTIVE OPTIMIZATION STUDIES...........................373
14. A Practical Approach Towards Multiobjective Shape
Optimization..................................................375
G. N. Sashi Kumar
15. Nature-Inspired Computing Techniques for Integer Factorization.401
Mohit Mishra, S. K. Pal, and R. V. Yampolskiy
16. Genetic Algorithm Based Real-Time Parameter Identifier
for an Adaptive Power System Stabilizer.......................421
Wael Mohamed Fayek and O. P. Malik
17. Applied Evolutionary Computation in Fire Safety Upgrading......461
Iordanis A. Naziris, Nikos D. Lagaros, and Kyriakos Papaioannou
18. Elitist Multiobjective Evolutionary Algorithms for Voltage
and Reactive Power Optimization in Power Systems..............483
S. B. D. V. P. S. Anauth and Robert T. F. Ah King
19. Evaluation of Simulated Annealing, Differential Evolution
and Particle Swarm Optimization for Solving Pooling Problems...513
Ying Chuan Ong, Shivom Sharma, and G. P. Rangaiah
Contents vii
20. Performance Improvement of NSGA-II Algorithm by Modifying
Crossover Probability Distribution.................................545
K .V. R. B. Prasad and P. M. Singru
21. Evolutionary Algorithms for Malware Detection
and Classification.................................................569
Kamran Morovati and Sanjay S. Kadam
Index..............................................................611
Techniques and Applications
Evolutionary computation has gained popularity in the recent past due to its several advantages over
deterministic methods. Unlike deterministic methods, evolutionary computation methods start with
multiple solutions (both tor single- and multi-objective optimization [MOO] studies) in order to attain a
wide range ot initial population members. Evolutionary computation methods are also highly preferred
for solving multi-objective optimization problems where conflicting objective functions are involved. This
volume presents and discusses recent advancements in evolutionary computation of both theory and
applications. Both scientific and engineering applications of evolutionary computation techniques are
explored here.
Edited by professionals with years of experience, Evolutionary Computation: Techniques and
Applications provides an introduction to the theory of evolutionary algorithms and single- and multi-
objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for
many uses with real-world applications.
Covering both the theory and applications of evolutionary computation, the book
• offers exhaustive coverage of several topics on nontraditional evolutionary techniques
• covers detailed working principles of new and popular evolutionary algorithms
• discusses case studies on both scientific and real-world applications of optimization
The book will be valuable to faculty and researchers as well as to advanced students in the areas of
optimization, evolutionary computation, modeling and simulation, process plant simulation, and more.
ABOUT THE EDITORS
Ashish M. Gujarathi, PhD, is currently an Assistant Professor in the Petroleum and Chemical
Engineering Department of the College of Engineering at Sultan Qaboos University, Sultanate of Oman.
He was formerly a Lecturer of Chemical Engineering at the Birla Institute of Technology and Science
(BITS) in Pilani, India. Dr. Gujrahti has over eleven years of experience as a chemical engineer with
diverse work experience comprising a blend of academic research, teaching, and industrial consultancy
work. A prolific author with articles, book chapters, and conference proceedings to his credit, he is also
an editorial board member of several journals, including the Journal of Developmental Biology and Tissue
Engineering and the International Open Access Journal of Biology and Computer Science. He has also
acted as a reviewer for several international journals as well as for books and conference proceedings.
B. V. Babu, PhD, is currently Vice Chancellor at Galgotias University in Greater Noida, India. An
acknowledged researcher and renowned academician, he was the Pro Vice Chancellor of DIT University,
Dehradun and founding Director of the Institute of Engineering and Technology (IET) at JK Lakshmipat
University, Jaipur. He is a member of many national and international academic and administrative
committees and professional organizations. Overall he has over 235 research publications to his credit.
He has published several books and has written chapters, invited editorials, and articles in various books,
lecture notes, and international journals. He organized several international and national conferences,
workshops, and seminars and also chaired several technical sessions. He has been invited speaker and
has delivered keynote addresses at various international conferences, seminars, and workshops. He is
editor-in-chief and editorial board member of several international and national scientific journals.
www. appleacadcm i cp ress .com
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| spelling | Evolutionary computation techniques and applications edited by Ashish M. Gujarathi, PhD, B.V. Babu, PhD Toronto AAP, Apple Academic Press [2017] xxiv, 627 Seiten Diagramme 24 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index Evolutionary computation System engineering Mathematical optimization Evolutionärer Algorithmus (DE-588)4366912-8 gnd rswk-swf Evolutionärer Algorithmus (DE-588)4366912-8 s DE-604 Gujarathi, Ashish M. edt Babu, B. V. edt Erscheint auch als Online-Ausgabe Toronto ; Waretown, New Jersey : Apple Academic Press, [2017] 978-1-77188-337-5 Digitalisierung UB Bayreuth - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030631448&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Bayreuth - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030631448&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
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| title | Evolutionary computation techniques and applications |
| title_auth | Evolutionary computation techniques and applications |
| title_exact_search | Evolutionary computation techniques and applications |
| title_full | Evolutionary computation techniques and applications edited by Ashish M. Gujarathi, PhD, B.V. Babu, PhD |
| title_fullStr | Evolutionary computation techniques and applications edited by Ashish M. Gujarathi, PhD, B.V. Babu, PhD |
| title_full_unstemmed | Evolutionary computation techniques and applications edited by Ashish M. Gujarathi, PhD, B.V. Babu, PhD |
| title_short | Evolutionary computation |
| title_sort | evolutionary computation techniques and applications |
| title_sub | techniques and applications |
| topic | Evolutionary computation System engineering Mathematical optimization Evolutionärer Algorithmus (DE-588)4366912-8 gnd |
| topic_facet | Evolutionary computation System engineering Mathematical optimization Evolutionärer Algorithmus |
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