<span>This book provides fundamental concepts related to various types of genetic algorithms and practical applications in various domains such as medical imaging, manufacturing, and engineering design. The book discusses genetic algorithms which are used to solve a variety of optimization problems.
Applications of Firefly Algorithm and its Variants: Case Studies and New Developments
β Scribed by Nilanjan Dey
- Publisher
- Springer Singapore
- Year
- 2020
- Tongue
- English
- Leaves
- 275
- Series
- Springer Tracts in Nature-Inspired Computing
- Edition
- 1st ed. 2020
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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
β¦ Table of Contents
Front Matter ....Pages i-xiii
Firefly Algorithm and Its Variants in Digital Image Processing: A Comprehensive Review (Nilanjan Dey, Jyotismita Chaki, LuminiΘa Moraru, Simon Fong, Xin-She Yang)....Pages 1-28
Development of Firefly Algorithm Interface for Parameter Optimization of Electrochemical-Based Machining Processes (D. Singh, R. S. Shukla)....Pages 29-52
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
Structural Damage Identification Using Adaptive Hybrid Evolutionary Firefly Algorithm (Qui X. Lieu, Van Hai Luong, Jaehong Lee)....Pages 75-97
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
Enhanced Firefly Algorithm for Optimum Steel Construction Design (S. Carbas)....Pages 119-146
Application of Firefly Algorithm for Face Recognition (Jai Kotia, Rishika Bharti, Adit Kotwal, Ramchandra Mangrulkar)....Pages 147-171
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
Plant Biology-Inspired Genetic Algorithm: Superior Efficiency to Firefly Optimizer (Neeraj Gupta, Mahdi Khosravy, Om Prakash Mahela, Nilesh Patel)....Pages 193-219
Firefly Algorithm-Based Kapurβs Thresholding and Hough Transform to Extract Leukocyte Section from Hematological Images (Venkatesan Rajinikanth, Nilanjan Dey, Ergina Kavallieratou, Hong Lin)....Pages 221-235
Effect of Population Size Over Parameter-less Firefly Algorithm (Krishna Gopal Dhal, Samarendu Sahoo, Arunita Das, Sanjoy Das)....Pages 237-266
β¦ Subjects
Engineering; Computational Intelligence; Algorithm Analysis and Problem Complexity; Continuous Optimization; Algorithms
π SIMILAR VOLUMES
This book provides fundamental concepts related to various types of genetic algorithms and practical applications in various domains such as medical imaging, manufacturing, and engineering design. The book discusses genetic algorithms which are used to solve a variety of optimization problems. The g
<p><p></p><p>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
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
<p>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 s