Handbook of Research on Artificial Intelligence Techniques and Algorithms (2 Volumes)

Handbook of Research on Artificial Intelligence Techniques and Algorithms (2 Volumes)

Pandian Vasant (Universiti Teknologi Petronas, Malaysia)
Release Date: November, 2014|Copyright: © 2015 |Pages: 796
ISBN13: 9781466672581|ISBN10: 1466672587|EISBN13: 9781466672598|DOI: 10.4018/978-1-4666-7258-1


For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques in the event during natural disasters and chaotic systems research.

The Handbook of Research on Artificial Intelligence Techniques and Algorithms highlights the cutting edge developments in this promising research area. This premier reference work applies Meta-heuristics Optimization (MO) Techniques to real world problems in a variety of fields including business, logistics, computer science, engineering, and government. This work is particularly relevant to researchers, scientists, decision-makers, managers, and practitioners.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Actuator Constraints
  • Bees Algorithm
  • Electromagnetism-Like Algorithms
  • Fuzzy Logic in Healthcare
  • GA-GSA Algorithm
  • GPR and RVM Based Predictions
  • Kernel Regression Ensemble
  • Memetic algorithm
  • Multi-Objective Optimization Algorithm
  • Reliability Algorithms Production System
  • Swarm Intelligence Approach

Reviews and Testimonials

This two-volume set gathers 25 peer-reviewed chapters on artificial intelligence algorithms and techniques for handling uncertainties. International contributors in information technology, electronics engineering, theoretical physics, and computer science present metaheuristic optimization (MO) methods inspired by various phenomena in nature and man-made activities, such as fuzzy logic, artificial neural networks, particle swarm optimization, glow worm swarm optimization, bee algorithms, ant colony algorithms, and more.

– ProtoView Book Abstracts (formerly Book News, Inc.)

Effectively organized, with the 25 chapters providing coverage at the right level of width and depth, providing the reader with an overview of the most important ideas and the sufficient amount of detail to drive further, focused, study. [...] Recommended. The book is balanced with valuable contributions, and adds value to the scientific literature on the subject.

– Dr. Ugo Fiore, Parthenope University, Italy

...Gives a profound description of a very important area of research and will be useful for many specialists in their practical activities. This book can be useful for students, engineers, scientists, economists, financiers, managers, researchers, decision makers and other specialists who deal with the necessity to analyze and make decisions in different areas of reality.

– Professor Nikolai Voropai, Director of the Melentiev Energy Systems Institute, Irkutsk, Russia

Recommended for its extremely wide scope covering huge areas of modern cutting-edge research for dealing with all kinds of uncertainties that one can imagine in real life problems. Major parts of the book are written in a way that's accessible for undergraduate students with the basic knowledge in applied mathematics, statistics and operational research.

– Professor Vassili Kolokoltsov, Department of Statistics, University of Warwick

Table of Contents and List of Contributors

Search this Book:

Author(s)/Editor(s) Biography

Dr. Pandian Vasant is a senior lecturer at Department of Fundamental and Applied Sciences, Faculty of Science and Information Technology, Universiti Teknologi PETRONAS in Malaysia. He holds PhD (UNEM, Costa Rica) in Computational Intelligence, MSc (UMS, Malaysia, Engineering Mathematics) and BSc (2nd Class Upper- Hons, UM, Malaysia) in Mathematics. His research interests include Soft Computing, Hybrid Optimization, Holistic Optimization, Innovative Computing and Applications. He has co-authored research papers and articles in national journals, international journals, conference proceedings, conference paper presentation, and special issues lead guest editor, lead guest editor for book chapters’ project, conference abstracts, edited books , keynote lecture and book chapters (175 publications indexed in SCOPUS). In the year 2009, Dr. Pandian Vasant was awarded top reviewer for the journal Applied Soft Computing (Elsevier) and awarded outstanding reviewer in the year 2015 for ASOC (Elsevier) journal. He has 26 years of working experience at the various universities from 1989-2017. Currently he is Editor-in-Chief of IJCO, IJSIEC, IEM, IJEOE and Editor of GJTO. H-Index SCOPUS Citations = 36, H-Index Google Scholar = 26, i-10 index = 76