Applications of Firefly Algorithm and its Variants

1. Front Matter

   Pages i-xiii

   PDF

2. Firefly Algorithm and Its Variants in Digital Image Processing: A Comprehensive Review

   • Nilanjan Dey, Jyotismita Chaki, Luminița Moraru, Simon Fong, Xin-She Yang

   Pages 1-28

3. Development of Firefly Algorithm Interface for Parameter Optimization of Electrochemical-Based Machining Processes

   • D. Singh, R. S. Shukla

   Pages 29-52

4. A Firefly Algorithm-Based Approach for Identifying Coalitions of Energy Providers that Best Satisfy the Energy Demand

   • Cristina Bianca Pop, Viorica Rozina Chifu, Eric Dumea, Ioan Salomie

   Pages 53-74

5. Structural Damage Identification Using Adaptive Hybrid Evolutionary Firefly Algorithm

   • Qui X. Lieu, Van Hai Luong, Jaehong Lee

   Pages 75-97

6. An Automated Approach for Developing a Convolutional Neural Network Using a Modified Firefly Algorithm for Image Classification

   • Ahmed I. Sharaf, El-Sayed F. Radwan

   Pages 99-118

7. Enhanced Firefly Algorithm for Optimum Steel Construction Design

   • S. Carbas

   Pages 119-146

8. Application of Firefly Algorithm for Face Recognition

   • Jai Kotia, Rishika Bharti, Adit Kotwal, Ramchandra Mangrulkar

   Pages 147-171

9. Application of Chaos-Based Firefly Algorithm Optimized Controller for Automatic Generation Control of Two Area Interconnected Power System with Energy Storage Unit and UPFC

   • K. Jagatheesan, B. Anand, Soumadip Sen, Sourav Samanta

   Pages 173-191

10. Plant Biology-Inspired Genetic Algorithm: Superior Efficiency to Firefly Optimizer

    • Neeraj Gupta, Mahdi Khosravy, Om Prakash Mahela, Nilesh Patel

    Pages 193-219

11. Firefly Algorithm-Based Kapur’s Thresholding and Hough Transform to Extract Leukocyte Section from Hematological Images

    • Venkatesan Rajinikanth, Nilanjan Dey, Ergina Kavallieratou, Hong Lin

    Pages 221-235

12. Effect of Population Size Over Parameter-less Firefly Algorithm

    • Krishna Gopal Dhal, Samarendu Sahoo, Arunita Das, Sanjoy Das

    Pages 237-266

The book discusses advantages of the firefly algorithm over other well-known metaheuristic algorithms in various engineering studies. The book provides a brief outline of various application-oriented problem solving methods, like economic emission load dispatch problem, designing a fully digital controlled reconfigurable switched beam nonconcentric ring array antenna, image segmentation, span minimization in permutation flow shop scheduling, multi-objective load dispatch problems, image compression, etc., using FA and its variants. It also covers the use of the firefly algorithm to select features, as research has shown that the firefly algorithm generates precise and optimal results in terms of time and optimality. In addition, the book also explores the potential of the firefly algorithm to provide a solution to traveling salesman problem, graph coloring problem, etc

• Firefly Algorithm
• Optimization
• Nature-inspired Computing
• Meta-heuristics
• Optimization Methodology
• Convolutional Neural Network
• algorithm analysis and problem complexity

• Department of Information Technology, Techno India College of Technology, Kolkata, India

  Nilanjan Dey

Dr. Nilanjan Dey is an Assistant Professor in Department of Information Technology at Techno India College of Technology, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He is a Visiting Professor at Wenzhou Medical University, China and Duy Tan University, Vietnam. He was an honorary Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He was awarded his PhD from Jadavpur University in 2015. 


He has authored/edited more than 45 books with Elsevier, Wiley, CRC Press and Springer, and published more than 300 papers. He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, IGI Global, Associated Editor of IEEE Access and International Journal of Information Technology, Springer. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing, Springer, Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier, Series Editor ofComputational Intelligence in Engineering Problem Solving and Intelligent Signal processing and data analysis, CRC. His main research interests include Medical Imaging, Machine learning, Computer Aided Diagnosis, Data Mining etc. He is the Indian Ambassador of International Federation for Information Processing – Young ICT Group. Recently, he has been awarded as one among the top 10 most published academics in the field of Computer Science in India (2015-17).

Policies and ethics