Discrete Cuckoo Search For Combinatorial Optimization PDF Download
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Author | : Aziz Ouaarab |
Publisher | : Springer Nature |
Total Pages | : 138 |
Release | : 2020-03-24 |
Genre | : Technology & Engineering |
ISBN | : 9811538360 |
Download Discrete Cuckoo Search for Combinatorial Optimization Book in PDF, ePub and Kindle
This book provides a literature review of techniques used to pass from continuous to combinatorial space, before discussing a detailed example with individual steps of how cuckoo search (CS) can be adapted to solve combinatorial optimization problems. It demonstrates the application of CS to three different problems and describes their source code. The content is divided into five chapters, the first of which provides a technical description, together with examples of combinatorial search spaces. The second chapter summarizes a diverse range of methods used to solve combinatorial optimization problems. In turn, the third chapter presents a description of CS, its formulation and characteristics. In the fourth chapter, the application of discrete cuckoo search (DCS) to solve three POCs (the traveling salesman problem, quadratic assignment problem and job shop scheduling problem) is explained, focusing mainly on a reinterpretation of the terminology used in CS and its source of inspiration. In closing, the fifth chapter discusses random-key cuckoo search (RKCS) using random keys to represent positions found by cuckoo search in the TSP and QAP solution space.
Author | : Anupam Shukla |
Publisher | : CRC Press |
Total Pages | : 337 |
Release | : 2017-12-15 |
Genre | : Computers |
ISBN | : 1351260871 |
Download Discrete Problems in Nature Inspired Algorithms Book in PDF, ePub and Kindle
This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization problems, path formation problems, etc. Each chapter includes the introduction of the basic traditional nature inspired algorithm and discussion of the modified version for discrete algorithms including problems pertaining to discussed algorithms.
Author | : Eneko Osaba |
Publisher | : Springer Nature |
Total Pages | : 236 |
Release | : 2021-05-17 |
Genre | : Technology & Engineering |
ISBN | : 9811606625 |
Download Applied Optimization and Swarm Intelligence Book in PDF, ePub and Kindle
This book gravitates on the prominent theories and recent developments of swarm intelligence methods, and their application in both synthetic and real-world optimization problems. The special interest will be placed in those algorithmic variants where biological processes observed in nature have underpinned the core operators underlying their search mechanisms. In other words, the book centers its attention on swarm intelligence and nature-inspired methods for efficient optimization and problem solving. The content of this book unleashes a great opportunity for researchers, lecturers and practitioners interested in swarm intelligence, optimization problems and artificial intelligence.
Author | : Xin-She Yang |
Publisher | : Springer |
Total Pages | : 366 |
Release | : 2013-10-31 |
Genre | : Technology & Engineering |
ISBN | : 3319021419 |
Download Cuckoo Search and Firefly Algorithm Book in PDF, ePub and Kindle
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.
Author | : Xin-She Yang |
Publisher | : Springer Nature |
Total Pages | : 250 |
Release | : 2023-09-22 |
Genre | : Technology & Engineering |
ISBN | : 9819939704 |
Download Benchmarks and Hybrid Algorithms in Optimization and Applications Book in PDF, ePub and Kindle
This book is specially focused on the latest developments and findings on hybrid algorithms and benchmarks in optimization and their applications in sciences, engineering, and industries. The book also provides some comprehensive reviews and surveys on implementations and coding aspects of benchmarks. The book is useful for Ph.D. students and researchers with a wide experience in the subject areas and also good reference for practitioners from academia and industrial applications.
Author | : D. Jude Hemanth |
Publisher | : Springer Nature |
Total Pages | : 209 |
Release | : 2019-12-07 |
Genre | : Technology & Engineering |
ISBN | : 9811513627 |
Download Recent Advances on Memetic Algorithms and its Applications in Image Processing Book in PDF, ePub and Kindle
This book includes original research findings in the field of memetic algorithms for image processing applications. It gathers contributions on theory, case studies, and design methods pertaining to memetic algorithms for image processing applications ranging from defence, medical image processing, and surveillance, to computer vision, robotics, etc. The content presented here provides new directions for future research from both theoretical and practical viewpoints, and will spur further advances in the field.
Author | : Anand J. Kulkarni |
Publisher | : Springer Nature |
Total Pages | : 1406 |
Release | : |
Genre | : |
ISBN | : 9819738202 |
Download Handbook of Formal Optimization Book in PDF, ePub and Kindle
Author | : Oscar Castillo |
Publisher | : Springer Nature |
Total Pages | : 383 |
Release | : 2021-03-24 |
Genre | : Technology & Engineering |
ISBN | : 3030687767 |
Download Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications Book in PDF, ePub and Kindle
We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also some papers that presents theory and practice of meta-heuristics in different areas of application. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical applications. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems.
Author | : Millie Pant |
Publisher | : Springer |
Total Pages | : 904 |
Release | : 2014-07-08 |
Genre | : Technology & Engineering |
ISBN | : 8132217713 |
Download Proceedings of the Third International Conference on Soft Computing for Problem Solving Book in PDF, ePub and Kindle
The proceedings of SocProS 2013 serve as an academic bonanza for scientists and researchers working in the field of Soft Computing. This book contains theoretical as well as practical aspects of Soft Computing, an umbrella term for techniques like fuzzy logic, neural networks and evolutionary algorithms, swarm intelligence algorithms etc. This book will be beneficial for the young as well as experienced researchers dealing with complex and intricate real world problems for which finding a solution by traditional methods is very difficult. The different areas covered in the proceedings are: Image Processing, Cryptanalysis, Supply Chain Management, Newly Proposed Nature Inspired Algorithms, Optimization, Problems related to Medical and Health Care, Networking etc.
Author | : Vasuki A |
Publisher | : CRC Press |
Total Pages | : 260 |
Release | : 2020-05-31 |
Genre | : Computers |
ISBN | : 1000076601 |
Download Nature-Inspired Optimization Algorithms Book in PDF, ePub and Kindle
Nature-Inspired Optimization Algorithms, a comprehensive work on the most popular optimization algorithms based on nature, starts with an overview of optimization going from the classical to the latest swarm intelligence algorithm. Nature has a rich abundance of flora and fauna that inspired the development of optimization techniques, providing us with simple solutions to complex problems in an effective and adaptive manner. The study of the intelligent survival strategies of animals, birds, and insects in a hostile and ever-changing environment has led to the development of techniques emulating their behavior. This book is a lucid description of fifteen important existing optimization algorithms based on swarm intelligence and superior in performance. It is a valuable resource for engineers, researchers, faculty, and students who are devising optimum solutions to any type of problem ranging from computer science to economics and covering diverse areas that require maximizing output and minimizing resources. This is the crux of all optimization algorithms. Features: Detailed description of the algorithms along with pseudocode and flowchart Easy translation to program code that is also readily available in Mathworks website for some of the algorithms Simple examples demonstrating the optimization strategies are provided to enhance understanding Standard applications and benchmark datasets for testing and validating the algorithms are included This book is a reference for undergraduate and post-graduate students. It will be useful to faculty members teaching optimization. It is also a comprehensive guide for researchers who are looking for optimizing resources in attaining the best solution to a problem. The nature-inspired optimization algorithms are unconventional, and this makes them more efficient than their traditional counterparts.