Applications Of Bat Algorithm And Its Variants
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Applications Of Bat Algorithm And Its Variants
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Author : Nilanjan Dey
language : en
Publisher: Springer Nature
Release Date : 2020-06-09
Applications Of Bat Algorithm And Its Variants written by Nilanjan Dey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-09 with Technology & Engineering categories.
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
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Author : Nilanjan Dey
language : en
Publisher: Springer Nature
Release Date : 2021-03-17
Applications Of Flower Pollination Algorithm And Its Variants written by Nilanjan Dey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-17 with Technology & Engineering categories.
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.
Applications Of Firefly Algorithm And Its Variants
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Author : Nilanjan Dey
language : en
Publisher: Springer Nature
Release Date : 2019-11-09
Applications Of Firefly Algorithm And Its Variants written by Nilanjan Dey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-09 with Technology & Engineering categories.
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
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Author : Nilanjan Dey
language : en
Publisher: Springer Nature
Release Date : 2020-06-23
Applications Of Cuckoo Search Algorithm And Its Variants written by Nilanjan Dey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-23 with Technology & Engineering categories.
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.
Nature Inspired Algorithms And Applied Optimization
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Author : Xin-She Yang
language : en
Publisher: Springer
Release Date : 2017-10-18
Nature Inspired Algorithms And Applied Optimization written by Xin-She Yang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-18 with Technology & Engineering categories.
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.
Highlights Of Practical Applications Of Survivable Agents And Multi Agent Systems The Paams Collection
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Author : Fernando De La Prieta
language : en
Publisher: Springer
Release Date : 2019-06-24
Highlights Of Practical Applications Of Survivable Agents And Multi Agent Systems The Paams Collection written by Fernando De La Prieta and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-24 with Computers categories.
This book constitutes the refereed proceedings of the workshops and special session co-located with the 17th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2019, held in Ávila, Spain, in June 2019. The total of 26 full and 8 short papers presented in this volume were carefully reviewed and selected from 47 submissions. The book also contains extended abstracts of the doctoral consortium contributions. The papers in this volume stem from the following meetings: Workshop on Agents-Based Solutions for Manufacturing and Supply Chain, AMSC; Second International Workshop on Blockchain Technology for Multi-Agent Systems, BTC4MAS; Workshop on MAS for Complex Networks and Social Computation; CNSC; Workshop on Multi-Agent Based Applications for Energy Markets, Smart Grids and Sustainable Energy Systems, MASGES; Workshop on Smart Cities and Intelligent Agents, SCIA; and Workshop on Swarm Intelligence andSwarm Robotics, SISR; as well as the special session on Software Agents and Virtualization for Internet of Things, SAVIoTS.
Engineering Applications Of Ai And Swarm Intelligence
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Author : Xin-She Yang
language : en
Publisher: Springer Nature
Release Date : 2024-09-25
Engineering Applications Of Ai And Swarm Intelligence written by Xin-She Yang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-25 with Computers categories.
The book is focused on latest developments and findings on engineering applications of AI and swarm intelligence. It provides comprehensive reviews and surveys on implementations and coding aspects of case studies and applications where appropriate. The book is useful for scholars, lecturers, and practitioners from academia and industrial applications. The readership of this book also includes Ph.D. students and researchers with a wide experience in the subject areas.
Optimizing Solutions For Real Life Problems
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Author : Nilanjan Dey
language : en
Publisher: Springer Nature
Release Date : 2025-06-20
Optimizing Solutions For Real Life Problems written by Nilanjan Dey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-20 with Computers categories.
This book explores various optimization techniques that can be used to address problems in the real world. These problems can be found in healthcare, engineering, manufacturing, and many other fields. In many real-world situations, from business to science, optimization techniques are similar to problem-solving tools. They help us make the best choices by considering limitations (constraints) and what we are trying to achieve (objectives). These techniques sift through all the possibilities and find the most effective option. Optimization is similar to a toolbox filled with different problem-solving methods, such as linear programming or genetic algorithms. These tools help us make better decisions about allocating resources across many different fields. They do this by finding the most efficient and effective solutions, considering all the limitations and goals involved.
Nature Inspired Optimization Algorithms
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Author : Xin-She Yang
language : en
Publisher: Elsevier
Release Date : 2014-02-17
Nature Inspired Optimization Algorithms written by Xin-She Yang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-17 with Computers categories.
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
Handbook Of Research On Soft Computing And Nature Inspired Algorithms
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Author : Shandilya, Shishir K.
language : en
Publisher: IGI Global
Release Date : 2017-03-10
Handbook Of Research On Soft Computing And Nature Inspired Algorithms written by Shandilya, Shishir K. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-10 with Computers categories.
Soft computing and nature-inspired computing both play a significant role in developing a better understanding to machine learning. When studied together, they can offer new perspectives on the learning process of machines. The Handbook of Research on Soft Computing and Nature-Inspired Algorithms is an essential source for the latest scholarly research on applications of nature-inspired computing and soft computational systems. Featuring comprehensive coverage on a range of topics and perspectives such as swarm intelligence, speech recognition, and electromagnetic problem solving, this publication is ideally designed for students, researchers, scholars, professionals, and practitioners seeking current research on the advanced workings of intelligence in computing systems.