Applied Optimization and Swarm Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Optimization and Swarm Intelligence write by Eneko Osaba. This book was released on 2021-05-17. Applied Optimization and Swarm Intelligence available 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.
Swarm Intelligence Optimization
Swarm Intelligence Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Swarm Intelligence Optimization write by Abhishek Kumar. This book was released on 2021-01-07. Swarm Intelligence Optimization available in PDF, EPUB and Kindle. Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.
Swarm Intelligence
Swarm Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Swarm Intelligence write by James Kennedy. This book was released on 2001-03-26. Swarm Intelligence available in PDF, EPUB and Kindle. A scholarly text on swarm intelligence that argues that intelligent human cognition derives from the interactions of individuals in a social world.
Swarm Intelligence
Swarm Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Swarm Intelligence write by Aboul Ella Hassanien. This book was released on 2018-09-03. Swarm Intelligence available in PDF, EPUB and Kindle. 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.
Swarm Intelligence Algorithms (Two Volume Set)
Swarm Intelligence Algorithms (Two Volume Set) - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Swarm Intelligence Algorithms (Two Volume Set) write by Adam Slowik. This book was released on 2021-01-26. Swarm Intelligence Algorithms (Two Volume Set) available in PDF, EPUB and Kindle. 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 set comprises two volumes: Swarm Intelligence Algorithms: A Tutorial and Swarm Intelligence Algorithms: Modifications and Applications. The first volume thoroughly presents the basics of 24 algorithms selected from the entire family of swarm intelligence algorithms. It contains a detailed explanation of how each algorithm works, along with relevant program codes in Matlab and the C ++ programming language, as well as numerical examples illustrating step-by-step how individual algorithms work. The second volume describes selected modifications of these algorithms and presents their practical applications. This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. It contains a short description along with a pseudo-code showing the various stages of its operation. In addition, each chapter contains a description of selected modifications of the algorithm and shows how it can be used to solve a selected practical problem.
