This book highlights the basic concepts of the CS algorithm and its variants, and their use in solving diverse optimization problems in medical and engineering applications. Evolutionary-based meta-heuristic approaches are increasingly being applied to solve complicated optimization problems in seve
Applications of Bat Algorithm and its Variants
β Scribed by Nilanjan Dey, V. Rajinikanth
- Publisher
- Springer Singapore;Springer
- Year
- 2021
- Tongue
- English
- Leaves
- 182
- Series
- Springer Tracts in Nature-Inspired Computing
- Edition
- 1st ed.
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book highlights essential concepts in connection with the traditional bat algorithm and its recent variants, as well as its application to find optimal solutions for a variety of real-world engineering and medical problems. Today, swarm intelligence-based meta-heuristic algorithms are extensively being used to address a wide range of real-world optimization problems due to their adaptability and robustness. Developed in 2009, the bat algorithm (BA) is one of the most successful swarm intelligence procedures, and has been used to tackle optimization tasks for more than a decade. The BAβs mathematical model is quite straightforward and easy to understand and enhance, compared to other swarm approaches. Hence, it has attracted the attention of researchers who are working to find optimal solutions in a diverse range of domains, such as N-dimensional numerical optimization, constrained/unconstrained optimization and linear/nonlinear optimization problems. Along with the traditional BA, its enhanced versions are now also being used to solve optimization problems in science, engineering and medical applications around the globe.
β¦ Table of Contents
Front Matter ....Pages i-xii
A New Hybrid Binary Algorithm of Bat Algorithm and Differential Evolution for Feature Selection and Classification (Abdelmonem M. Ibrahim, Mohamed A. Tawhid)....Pages 1-18
Multi-objective Optimization of Engineering Design Problems Through Pareto-Based Bat Algorithm (Deniz Ustun, Serdar Carbas, Abdurrahim Toktas)....Pages 19-43
A Study on the Bat Algorithm Technique to Evaluate the Skin Melanoma Images (Nilanjan Dey, V. Rajinikanth, Hong Lin, Fuqian Shi)....Pages 45-60
Multi-thresholding with Kapurβs EntropyβA Study Using Bat Algorithm with Different Search Operators (V. Rajinikanth, Nilanjan Dey, S. Kavitha)....Pages 61-78
Application of Bat-Inspired Computing Algorithm and Its Variants in Search of Near-Optimal Golomb Rulers for WDM Systems: A Comparative Study (Shonak Bansal, Neena Gupta, Arun K. Singh)....Pages 79-101
Levy Flight Opposition Embedded BAT Algorithm for Model Order Reduction (Shalini Shekhawat, Akash Saxena, Rajesh Kumar, Vinay Pratap Singh)....Pages 103-118
Application of BAT Algorithm for Detecting Malignant Brain Tumors (Adit Kotwal, Rishika Bharti, Mansi Pandya, Harshil Jhaveri, Ramchandra Mangrulkar)....Pages 119-132
Bat Algorithm with Applications to Signal, Speech, and Image ProcessingβA Review (K. Prajna, N. Manikanthababu)....Pages 133-153
Bat Algorithm Aided System to Extract Tumor in Flair/T2 Modality Brain MRI Slices (V. Sindhu, M. Singaravelan, J. Ramadevi, S. Vinitha, S. Hemapriyaa)....Pages 155-172
β¦ Subjects
Engineering; Computational Intelligence; Algorithm Analysis and Problem Complexity; Algorithms
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