Applications Of Cuckoo Search Algorithm And Its Variants

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Applications of Cuckoo Search Algorithm and Its Variants

Author : Nilanjan Dey
Publisher :
ISBN 13 : 9789811551642
Total Pages : 0 pages
Book Rating : 4.5/5 (516 download)

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Book Synopsis Applications of Cuckoo Search Algorithm and Its Variants by : Nilanjan Dey

Download or read book Applications of Cuckoo Search Algorithm and Its Variants written by Nilanjan Dey and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Cuckoo Search Algorithm and its Variants

Author : Nilanjan Dey
Publisher : Springer Nature
ISBN 13 : 9811551634
Total Pages : 328 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Applications of Cuckoo Search Algorithm and its Variants by : Nilanjan Dey

Download or read book Applications of Cuckoo Search Algorithm and its Variants written by Nilanjan Dey and published by Springer Nature. This book was released on 2020-06-23 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Cuckoo Search and Firefly Algorithm

Author : Xin-She Yang
Publisher : Springer
ISBN 13 : 3319021419
Total Pages : 366 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Cuckoo Search and Firefly Algorithm by : Xin-She Yang

Download or read book Cuckoo Search and Firefly Algorithm written by Xin-She Yang and published by Springer. This book was released on 2013-10-31 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Algorithms and Applications

Author : S. Balamurugan
Publisher : John Wiley & Sons
ISBN 13 : 111968174X
Total Pages : 388 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Nature-Inspired Algorithms and Applications by : S. Balamurugan

Download or read book Nature-Inspired Algorithms and Applications written by S. Balamurugan and published by John Wiley & Sons. This book was released on 2021-12-14 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: NATURE-INSPIRED ALGORITHMS AND APPLICATIONS The book’s unified approach of balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Inspired by the world around them, researchers are gathering information that can be developed for use in areas where certain practical applications of nature-inspired computation and machine learning can be applied. This book is designed to enhance the reader’s understanding of this process by portraying certain practical applications of nature-inspired algorithms (NIAs) specifically designed to solve complex real-world problems in data analytics and pattern recognition by means of domain-specific solutions. Since various NIAs and their multidisciplinary applications in the mechanical engineering and electrical engineering sectors; and in machine learning, image processing, data mining, and wireless networks are dealt with in detail in this book, it can act as a handy reference guide. Among the subjects of the 12 chapters are: A novel method based on TRIZ to map real-world problems to nature problems Applications of cuckoo search algorithm for optimization problems Performance analysis of nature-inspired algorithms in breast cancer diagnosis Nature-inspired computation in data mining Hybrid bat-genetic algorithm–based novel optimal wavelet filter for compression of image data Efficiency of finding best solutions through ant colony optimization techniques Applications of hybridized algorithms and novel algorithms in the field of machine learning. Audience: Researchers and graduate students in mechanical engineering, electrical engineering, machine learning, image processing, data mining, and wireless networks will find this book very useful.

Applications of Flower Pollination Algorithm and its Variants

Author : Nilanjan Dey
Publisher : Springer Nature
ISBN 13 : 9813361042
Total Pages : 239 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Applications of Flower Pollination Algorithm and its Variants by : Nilanjan Dey

Download or read book Applications of Flower Pollination Algorithm and its Variants written by Nilanjan Dey and published by Springer Nature. This book was released on 2021-03-17 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Metaheuristic and Evolutionary Computation: Algorithms and Applications

Author : Hasmat Malik
Publisher : Springer Nature
ISBN 13 : 9811575711
Total Pages : 830 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Metaheuristic and Evolutionary Computation: Algorithms and Applications by : Hasmat Malik

Download or read book Metaheuristic and Evolutionary Computation: Algorithms and Applications written by Hasmat Malik and published by Springer Nature. This book was released on 2020-10-08 with total page 830 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the principles and applications of metaheuristic approaches in engineering and related fields. The first part covers metaheuristics tools and techniques such as ant colony optimization and Tabu search, and their applications to several classes of optimization problems. In turn, the book’s second part focuses on a wide variety of metaheuristics applications in engineering and/or the applied sciences, e.g. in smart grids and renewable energy. In addition, the simulation codes for the problems discussed are included in an appendix for ready reference. Intended for researchers aspiring to learn and apply metaheuristic techniques, and gathering contributions by prominent experts in the field, the book offers readers an essential introduction to metaheuristics, its theoretical aspects and applications.

Applications of Firefly Algorithm and its Variants

Author : Nilanjan Dey
Publisher : Springer Nature
ISBN 13 : 9811503060
Total Pages : 266 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Applications of Firefly Algorithm and its Variants by : Nilanjan Dey

Download or read book Applications of Firefly Algorithm and its Variants written by Nilanjan Dey and published by Springer Nature. This book was released on 2019-11-09 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Nature-Inspired Optimization Algorithms

Author : Xin-She Yang
Publisher : Elsevier
ISBN 13 : 0124167454
Total Pages : 277 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Nature-Inspired Optimization Algorithms by : Xin-She Yang

Download or read book Nature-Inspired Optimization Algorithms written by Xin-She Yang and published by Elsevier. This book was released on 2014-02-17 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Harmony Search Algorithm

Author : Joong Hoon Kim
Publisher : Springer
ISBN 13 : 3662479265
Total Pages : 470 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Harmony Search Algorithm by : Joong Hoon Kim

Download or read book Harmony Search Algorithm written by Joong Hoon Kim and published by Springer. This book was released on 2015-08-08 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Harmony Search Algorithm (HSA) is one of the most well-known techniques in the field of soft computing, an important paradigm in the science and engineering community. This volume, the proceedings of the 2nd International Conference on Harmony Search Algorithm 2015 (ICHSA 2015), brings together contributions describing the latest developments in the field of soft computing with a special focus on HSA techniques. It includes coverage of new methods that have potentially immense application in various fields. Contributed articles cover aspects of the following topics related to the Harmony Search Algorithm: analytical studies; improved, hybrid and multi-objective variants; parameter tuning; and large-scale applications. The book also contains papers discussing recent advances on the following topics: genetic algorithms; evolutionary strategies; the firefly algorithm and cuckoo search; particle swarm optimization and ant colony optimization; simulated annealing; and local search techniques. This book offers a valuable snapshot of the current status of the Harmony Search Algorithm and related techniques, and will be a useful reference for practising researchers and advanced students in computer science and engineering.

Artificial Intelligence, Evolutionary Computing and Metaheuristics

Author : Xin-She Yang
Publisher : Springer
ISBN 13 : 3642296947
Total Pages : 797 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Artificial Intelligence, Evolutionary Computing and Metaheuristics by : Xin-She Yang

Download or read book Artificial Intelligence, Evolutionary Computing and Metaheuristics written by Xin-She Yang and published by Springer. This book was released on 2012-07-27 with total page 797 pages. Available in PDF, EPUB and Kindle. Book excerpt: Alan Turing pioneered many research areas such as artificial intelligence, computability, heuristics and pattern formation. Nowadays at the information age, it is hard to imagine how the world would be without computers and the Internet. Without Turing's work, especially the core concept of Turing Machine at the heart of every computer, mobile phone and microchip today, so many things on which we are so dependent would be impossible. 2012 is the Alan Turing year -- a centenary celebration of the life and work of Alan Turing. To celebrate Turing's legacy and follow the footsteps of this brilliant mind, we take this golden opportunity to review the latest developments in areas of artificial intelligence, evolutionary computation and metaheuristics, and all these areas can be traced back to Turing's pioneer work. Topics include Turing test, Turing machine, artificial intelligence, cryptography, software testing, image processing, neural networks, nature-inspired algorithms such as bat algorithm and cuckoo search, and multiobjective optimization and many applications. These reviews and chapters not only provide a timely snapshot of the state-of-art developments, but also provide inspiration for young researchers to carry out potentially ground-breaking research in the active, diverse research areas in artificial intelligence, cryptography, machine learning, evolutionary computation, and nature-inspired metaheuristics. This edited book can serve as a timely reference for graduates, researchers and engineers in artificial intelligence, computer sciences, computational intelligence, soft computing, optimization, and applied sciences.

Applications of Bat Algorithm and its Variants

Author : Nilanjan Dey
Publisher : Springer Nature
ISBN 13 : 9811550972
Total Pages : 182 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Applications of Bat Algorithm and its Variants by : Nilanjan Dey

Download or read book Applications of Bat Algorithm and its Variants written by Nilanjan Dey and published by Springer Nature. This book was released on 2020-06-09 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics

Author : Vasant, Pandian
Publisher : IGI Global
ISBN 13 : 1466696451
Total Pages : 960 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics by : Vasant, Pandian

Download or read book Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics written by Vasant, Pandian and published by IGI Global. This book was released on 2016-03-08 with total page 960 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern optimization approaches have attracted many research scientists, decision makers and practicing researchers in recent years as powerful intelligent computational techniques for solving several complex real-world problems. The Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics highlights the latest research innovations and applications of algorithms designed for optimization applications within the fields of engineering, IT, and economics. Focusing on a variety of methods and systems as well as practical examples, this book is a significant resource for graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modeling uncertain real-world problems. .

Swarm Intelligence

Author : Aboul Ella Hassanien
Publisher : CRC Press
ISBN 13 : 149874107X
Total Pages : 210 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Swarm Intelligence by : Aboul Ella Hassanien

Download or read book Swarm Intelligence written by Aboul Ella Hassanien and published by CRC Press. This book was released on 2018-09-03 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

ICDSMLA 2019

Author : Amit Kumar
Publisher : Springer Nature
ISBN 13 : 9811514208
Total Pages : 2010 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis ICDSMLA 2019 by : Amit Kumar

Download or read book ICDSMLA 2019 written by Amit Kumar and published by Springer Nature. This book was released on 2020-05-19 with total page 2010 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-impact articles from the 1st International Conference on Data Science, Machine Learning & Applications 2019. It highlights the latest developments in the areas of Artificial Intelligence, Machine Learning, Soft Computing, Human–Computer Interaction and various data science & machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.

Swarm Intelligence Algorithms

Author : Adam Slowik
Publisher : CRC Press
ISBN 13 : 0429749503
Total Pages : 363 pages
Book Rating : 4.4/5 (297 download)

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Book Synopsis Swarm Intelligence Algorithms by : Adam Slowik

Download or read book Swarm Intelligence Algorithms written by Adam Slowik and published by CRC Press. This book was released on 2020-08-25 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Swarm intelligence algorithms are a form of nature-based optimization algorithms. Their main inspiration is the cooperative behavior of animals within specific communities. This can be described as simple behaviors of individuals along with the mechanisms for sharing knowledge between them, resulting in the complex behavior of the entire community. Examples of such behavior can be found in ant colonies, bee swarms, schools of fish or bird flocks. Swarm intelligence algorithms are used to solve difficult optimization problems for which there are no exact solving methods or the use of such methods is impossible, e.g. due to unacceptable computational time. This book thoroughly presents the basics of 24 algorithms selected from the entire family of swarm intelligence algorithms. Each chapter deals with a different algorithm describing it in detail and showing how it works in the form of a pseudo-code. In addition, the source code is provided for each algorithm in Matlab and in the C ++ programming language. In order to better understand how each swarm intelligence algorithm works, a simple numerical example is included in each chapter, which guides the reader step by step through the individual stages of the algorithm, showing all necessary calculations. This book can provide the basics for understanding how swarm intelligence algorithms work, and aid readers in programming these algorithms on their own to solve various computational problems. This book should also be useful for undergraduate and postgraduate students studying nature-based optimization algorithms, and can be a helpful tool for learning the basics of these algorithms efficiently and quickly. In addition, it can be a useful source of knowledge for scientists working in the field of artificial intelligence, as well as for engineers interested in using this type of algorithms in their work. If the reader already has basic knowledge of swarm intelligence algorithms, we recommend the book: "Swarm Intelligence Algorithms: Modifications and Applications" (Edited by A. Slowik, CRC Press, 2020), which describes selected modifications of these algorithms and presents their practical applications.

Handbook of Research on Mathematical Modeling for Smart Healthcare Systems

Author : Samanta, Debabrata
Publisher : IGI Global
ISBN 13 : 1668445824
Total Pages : 503 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Handbook of Research on Mathematical Modeling for Smart Healthcare Systems by : Samanta, Debabrata

Download or read book Handbook of Research on Mathematical Modeling for Smart Healthcare Systems written by Samanta, Debabrata and published by IGI Global. This book was released on 2022-06-24 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in healthcare technologies have offered real-time guidance and technical assistance for diagnosis, monitoring, operation, and interventions. The development of artificial intelligence, machine learning, internet of things technology, and smart computing techniques are crucial in today’s healthcare environment as they provide frictionless and transparent financial transactions and improve the overall healthcare experience. This, in turn, has far-reaching effects on economic, psychological, educational, and organizational improvements in the way we work, teach, learn, and provide care. These advances must be studied further in order to ensure they are adapted and utilized appropriately. The Handbook of Research on Mathematical Modeling for Smart Healthcare Systems presents the latest research findings, ideas, innovations, developments, and applications in the field of modeling for healthcare systems. Furthermore, it presents the application of innovative techniques to complex problems in the case of healthcare. Covering a range of topics such as artificial intelligence, deep learning, and personalized healthcare services, this reference work is crucial for engineers, healthcare professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics

Author : Oscar Castillo
Publisher : Springer
ISBN 13 : 331910960X
Total Pages : 195 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics by : Oscar Castillo

Download or read book Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics written by Oscar Castillo and published by Springer. This book was released on 2014-09-20 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes recent advances on fuzzy logic augmentation of nature-inspired optimization metaheuristics and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in two main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic augmentation of nature-inspired optimization metaheuristics, which basically consists of papers that propose new optimization algorithms enhanced using fuzzy systems. The second part contains papers with the main theme of application of optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application.