Applications Of Firefly Algorithm And Its Variants

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Applications of Firefly Algorithm and its Variants

Nilanjan Dey
Applications of Firefly Algorithm and its Variants Book PDF

Author : Nilanjan Dey
Publisher : Springer Nature
Page : 266 pages
File Size : 52,5 Mb
Release : 2019-11-09
Category : Technology & Engineering
ISBN : 9789811503061

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Applications of Firefly Algorithm and its Variants by Nilanjan Dey Pdf

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

Applications of Cuckoo Search Algorithm and its Variants

Nilanjan Dey
Applications of Cuckoo Search Algorithm and its Variants Book PDF

Author : Nilanjan Dey
Publisher : Springer Nature
Page : 328 pages
File Size : 54,7 Mb
Release : 2020-06-23
Category : Technology & Engineering
ISBN : 9789811551635

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Applications of Cuckoo Search Algorithm and its Variants by Nilanjan Dey Pdf

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 several real-world applications. One of the most successful optimization algorithms is the Cuckoo search (CS), which has become an active research area to solve N-dimensional and linear/nonlinear optimization problems using simple mathematical processes. CS has attracted the attention of various researchers, resulting in the emergence of numerous variants of the basic CS with enhanced performance since 2019.

Applications of Bat Algorithm and its Variants

Nilanjan Dey,V. Rajinikanth
Applications of Bat Algorithm and its Variants Book PDF

Author : Nilanjan Dey,V. Rajinikanth
Publisher : Springer Nature
Page : 182 pages
File Size : 52,6 Mb
Release : 2020-06-09
Category : Technology & Engineering
ISBN : 9789811550973

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Applications of Bat Algorithm and its Variants by Nilanjan Dey,V. Rajinikanth Pdf

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 BA’s 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.

Applications of Flower Pollination Algorithm and its Variants

Nilanjan Dey
Applications of Flower Pollination Algorithm and its Variants Book PDF

Author : Nilanjan Dey
Publisher : Springer Nature
Page : 239 pages
File Size : 42,5 Mb
Release : 2021-03-17
Category : Technology & Engineering
ISBN : 9789813361041

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Applications of Flower Pollination Algorithm and its Variants by Nilanjan Dey Pdf

This book presents essential concepts of traditional Flower Pollination Algorithm (FPA) and its recent variants and also its application to find optimal solution for a variety of real-world engineering and medical problems. Swarm intelligence-based meta-heuristic algorithms are extensively implemented to solve a variety of real-world optimization problems due to its adaptability and robustness. FPA is one of the most successful swarm intelligence procedures developed in 2012 and extensively used in various optimization tasks for more than a decade. The mathematical model of FPA is quite straightforward and easy to understand and enhance, compared to other swarm approaches. Hence, FPA has attracted attention of researchers, who are working to find the optimal solutions in variety of domains, such as N-dimensional numerical optimization, constrained/unconstrained optimization, and linear/nonlinear optimization problems. Along with the traditional bat algorithm, the enhanced versions of FPA are also considered to solve a variety of optimization problems in science, engineering, and medical applications.

Cuckoo Search and Firefly Algorithm

Xin-She Yang
Cuckoo Search and Firefly Algorithm Book PDF

Author : Xin-She Yang
Publisher : Springer
Page : 366 pages
File Size : 54,8 Mb
Release : 2013-10-31
Category : Technology & Engineering
ISBN : 9783319021416

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Cuckoo Search and Firefly Algorithm by Xin-She Yang Pdf

Nature-inspired algorithms such as cuckoo search and firefly algorithm have become popular and widely used in recent years in many applications. These algorithms are flexible, efficient and easy to implement. New progress has been made in the last few years, and it is timely to summarize the latest developments of cuckoo search and firefly algorithm and their diverse applications. This book will review both theoretical studies and applications with detailed algorithm analysis, implementation and case studies so that readers can benefit most from this book. Application topics are contributed by many leading experts in the field. Topics include cuckoo search, firefly algorithm, algorithm analysis, feature selection, image processing, travelling salesman problem, neural network, GPU optimization, scheduling, queuing, multi-objective manufacturing optimization, semantic web service, shape optimization, and others. This book can serve as an ideal reference for both graduates and researchers in computer science, evolutionary computing, machine learning, computational intelligence, and optimization, as well as engineers in business intelligence, knowledge management and information technology.

Nature-Inspired Optimization Algorithms

Xin-She Yang
Nature Inspired Optimization Algorithms Book PDF

Author : Xin-She Yang
Publisher : Academic Press
Page : 312 pages
File Size : 48,5 Mb
Release : 2020-09-09
Category : Science
ISBN : 9780128219898

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Nature-Inspired Optimization Algorithms by Xin-She Yang Pdf

Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, and multi-objective optimization. This book can serve as an introductory book for graduates, for lecturers in computer science, engineering and natural sciences, and as a source of inspiration for new applications. Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature Provides a theoretical understanding and practical implementation hints Presents a step-by-step introduction to each algorithm Includes four new chapters covering mathematical foundations, techniques for solving discrete and combination optimization problems, data mining techniques and their links to optimization algorithms, and the latest deep learning techniques, background and various applications

Nature-Inspired Algorithms and Applied Optimization

Xin-She Yang
Nature Inspired Algorithms and Applied Optimization Book PDF

Author : Xin-She Yang
Publisher : Springer
Page : 330 pages
File Size : 45,6 Mb
Release : 2017-10-08
Category : Technology & Engineering
ISBN : 9783319676692

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Nature-Inspired Algorithms and Applied Optimization by Xin-She Yang Pdf

This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals.

Swarm Intelligence and Bio-Inspired Computation

Iztok Fister,Xin-She Yang,Janez Brest,Iztok Jr. Fister
Swarm Intelligence and Bio Inspired Computation Book PDF

Author : Iztok Fister,Xin-She Yang,Janez Brest,Iztok Jr. Fister
Publisher : Elsevier Inc. Chapters
Page : 450 pages
File Size : 54,5 Mb
Release : 2013-05-16
Category : Computers
ISBN : 9780128068908

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Swarm Intelligence and Bio-Inspired Computation by Iztok Fister,Xin-She Yang,Janez Brest,Iztok Jr. Fister Pdf

The “firefly algorithm” (FFA) is a modern metaheuristic algorithm, inspired by the behavior of fireflies. This algorithm and its variants have been successfully applied to many continuous optimization problems. This work analyzes the performance of the FFA when solving combinatorial optimization problems. In order to improve the results, the original FFA is extended and improved for self-adaptation of control parameters, and thus more directly balancing between exploration and exploitation in the search process of fireflies. We use a new population model to increase the selection pressure, and the next generation selects only the fittest between a parent and an offspring population. As a result, the proposed memetic self-adaptive FFA (MSA-FFA) is compared with other well-known graph coloring algorithms such as Tabucol, the hybrid evolutionary algorithm, and an evolutionary algorithm with stepwise adaptation of weights. Various experiments have been conducted on a huge set of randomly generated graphs. The results of these experiments show that the results of the MSA-FFA are comparable with other tested algorithms.

Nature-Inspired Optimization Algorithms

Xin-She Yang
Nature Inspired Optimization Algorithms Book PDF

Author : Xin-She Yang
Publisher : Elsevier
Page : 277 pages
File Size : 42,9 Mb
Release : 2014-02-17
Category : Computers
ISBN : 9780124167452

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Nature-Inspired Optimization Algorithms by Xin-She Yang Pdf

Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference. Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature Provides a theoretical understanding as well as practical implementation hints Provides a step-by-step introduction to each algorithm

Swarm Intelligence

Aboul Ella Hassanien,Eid Emary
Swarm Intelligence Book PDF

Author : Aboul Ella Hassanien,Eid Emary
Publisher : CRC Press
Page : 210 pages
File Size : 49,7 Mb
Release : 2018-09-03
Category : Computers
ISBN : 9781498741071

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Swarm Intelligence by Aboul Ella Hassanien,Eid Emary Pdf

Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. The book begins with a brief introduction to mathematical optimization, addressing basic concepts related to swarm intelligence, such as randomness, random walks, and chaos theory. The text then: Describes the various swarm intelligence optimization methods, standardizing the variants, hybridizations, and algorithms whenever possible Discusses variants that focus more on binary, discrete, constrained, adaptive, and chaotic versions of the swarm optimizers Depicts real-world applications of the individual optimizers, emphasizing variable selection and fitness function design Details the similarities, differences, weaknesses, and strengths of each swarm optimization method Draws parallels between the operators and searching manners of the different algorithms Swarm Intelligence: Principles, Advances, and Applications presents a comprehensive treatment of modern swarm intelligence optimization methods, complete with illustrative examples and an extendable MATLAB® package for feature selection in wrapper mode applied on different data sets with benchmarking using different evaluation criteria. The book provides beginners with a solid foundation of swarm intelligence fundamentals, and offers experts valuable insight into new directions and hybridizations.

Hybrid Image Processing Methods for Medical Image Examination

Venkatesan Rajinikanth,E Priya,Hong Lin,Fuhua Lin
Hybrid Image Processing Methods for Medical Image Examination Book PDF

Author : Venkatesan Rajinikanth,E Priya,Hong Lin,Fuhua Lin
Publisher : CRC Press
Page : 201 pages
File Size : 51,7 Mb
Release : 2021-01-29
Category : Computers
ISBN : 9781000316568

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Hybrid Image Processing Methods for Medical Image Examination by Venkatesan Rajinikanth,E Priya,Hong Lin,Fuhua Lin Pdf

Provides broad background on various image thresholding and segmentation techniques. Discusses information on various assessment metrics and the confusion matrix. Proposes integration of the thresholding technique with the bio-inspired algorithms. Explores case studies including MRI, CT, dermoscopy and ultrasound images. Includes separate chapters on machine learning and deep learning for medical image processing.

Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

Serdar Carbas,Abdurrahim Toktas,Deniz Ustun
Nature Inspired Metaheuristic Algorithms for Engineering Optimization Applications Book PDF

Author : Serdar Carbas,Abdurrahim Toktas,Deniz Ustun
Publisher : Springer Nature
Page : 420 pages
File Size : 54,5 Mb
Release : 2021-03-31
Category : Technology & Engineering
ISBN : 9789813367739

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Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications by Serdar Carbas,Abdurrahim Toktas,Deniz Ustun Pdf

This book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications. The chapters of the book provide concise overviews of various nature-inspired metaheuristic algorithms, defining their profits in obtaining the optimal solutions of tiresome engineering design problems that cannot be efficiently resolved via conventional mathematical-based techniques. Thus, the chapters report on advanced studies on the applications of not only the traditional, but also the contemporary certain nature-inspired metaheuristic algorithms to specific engineering optimization problems with single and multi-objectives. Harmony search, artificial bee colony, teaching learning-based optimization, electrostatic discharge, grasshopper, backtracking search, and interactive search are just some of the methods exhibited and consulted step by step in application contexts. The book is a perfect guide for graduate students, researchers, academicians, and professionals willing to use metaheuristic algorithms in engineering optimization applications.

A Beginner’s Guide to Multilevel Image Thresholding

Venkatesan Rajinikanth,Nadaradjane Sri Madhava Raja,Nilanjan Dey
A Beginner s Guide to Multilevel Image Thresholding Book PDF

Author : Venkatesan Rajinikanth,Nadaradjane Sri Madhava Raja,Nilanjan Dey
Publisher : CRC Press
Page : 104 pages
File Size : 44,5 Mb
Release : 2020-11-20
Category : Computers
ISBN : 9781000228458

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A Beginner’s Guide to Multilevel Image Thresholding by Venkatesan Rajinikanth,Nadaradjane Sri Madhava Raja,Nilanjan Dey Pdf

A Beginner’s Guide to Image Multi-Level Thresholding emphasizes various image thresholding methods that are necessary for image pre-processing and initial level enhancement. Explains basic concepts and the implementation of Image Multi-Level Thresholding (grayscale and RGB images) Presents a detailed evaluation in real-time application, including the need for heuristic algorithm, the choice of objective and threshold function, and the evaluation of the outcome Describes how the image thresholding acts as a pre-processing technique and how the region of interest in a medical image is enhanced with thresholding Illustrates integration of the thresholding technique with bio-inspired algorithms Includes current findings and future directions of image multi-level thresholding and its practical implementation Emphasizes the need for multi-level thresholding with suitable examples The book is aimed at graduate students and researchers in image processing, electronics engineering, computer sciences and engineering.

Computational Science – ICCS 2020

Valeria V. Krzhizhanovskaya,Gábor Závodszky,Michael H. Lees,Jack J. Dongarra,Peter M. A. Sloot,Sérgio Brissos,João Teixeira
Computational Science ICCS 2020 Book PDF

Author : Valeria V. Krzhizhanovskaya,Gábor Závodszky,Michael H. Lees,Jack J. Dongarra,Peter M. A. Sloot,Sérgio Brissos,João Teixeira
Publisher : Springer Nature
Page : 618 pages
File Size : 40,7 Mb
Release : 2020-06-18
Category : Computers
ISBN : 9783030504267

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Computational Science – ICCS 2020 by Valeria V. Krzhizhanovskaya,Gábor Závodszky,Michael H. Lees,Jack J. Dongarra,Peter M. A. Sloot,Sérgio Brissos,João Teixeira Pdf

The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Computational Methods in Artificial Intelligence and Machine Learning; Track of Biomedical and Bioinformatics Challenges for Computer Science Part IV: Track of Classifier Learning from Difficult Data; Track of Complex Social Systems through the Lens of Computational Science; Track of Computational Health; Track of Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems; Track of Computer Graphics, Image Processing and Artificial Intelligence Part VI: Track of Data Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Meshfree Methods in Computational Sciences; Track of Multiscale Modelling and Simulation; Track of Quantum Computing Workshop Part VII: Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation; Track of Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Track of Software Engineering for Computational Science; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Track of UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic.

Optimizing Engineering Problems through Heuristic Techniques

Kaushik Kumar,Divya Zindani,J. Paulo Davim
Optimizing Engineering Problems through Heuristic Techniques Book PDF

Author : Kaushik Kumar,Divya Zindani,J. Paulo Davim
Publisher : CRC Press
Page : 138 pages
File Size : 46,9 Mb
Release : 2019-12-06
Category : Computers
ISBN : 9781351049573

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Optimizing Engineering Problems through Heuristic Techniques by Kaushik Kumar,Divya Zindani,J. Paulo Davim Pdf

This book will cover heuristic optimization techniques and applications in engineering problems. The book will be divided into three sections that will provide coverage of the techniques, which can be employed by engineers, researchers, and manufacturing industries, to improve their productivity with the sole motive of socio-economic development. This will be the first book in the category of heuristic techniques with relevance to engineering problems and achieving optimal solutions. Features Explains the concept of optimization and the relevance of using heuristic techniques for optimal solutions in engineering problems Illustrates the various heuristics techniques Describes evolutionary heuristic techniques like genetic algorithm and particle swarm optimization Contains natural based techniques like ant colony optimization, bee algorithm, firefly optimization, and cuckoo search Offers sample problems and their optimization, using various heuristic techniques