Nature Inspired Optimization For Electrical Power System

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Nature Inspired Optimization for Electrical Power System

Manjaree Pandit,Hari Mohan Dubey,Jagdish Chand Bansal
Nature Inspired Optimization for Electrical Power System Book PDF

Author : Manjaree Pandit,Hari Mohan Dubey,Jagdish Chand Bansal
Publisher : Springer Nature
Page : 129 pages
File Size : 47,7 Mb
Release : 2020-04-07
Category : Technology & Engineering
ISBN : 9789811540042

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Nature Inspired Optimization for Electrical Power System by Manjaree Pandit,Hari Mohan Dubey,Jagdish Chand Bansal Pdf

This book presents a wide range of optimization methods and their applications to various electrical power system problems such as economical load dispatch, demand supply management in microgrids, levelized energy pricing, load frequency control and congestion management, and reactive power management in radial distribution systems. Problems related to electrical power systems are often highly complex due to the massive dimensions, nonlinearity, non-convexity and discontinuity associated with objective functions. These systems also have a large number of equality and inequality constraints, which give rise to optimization problems that are difficult to solve using classical numerical methods. In this regard, nature inspired optimization algorithms offer an effective alternative, due to their ease of use, population-based parallel search mechanism, non-dependence on the nature of the problem, and ability to accommodate non-differentiable, non-convex problems. The analytical model of nature inspired techniques mimics the natural behaviors and intelligence of life forms. These techniques are mainly based on evolution, swarm intelligence, ecology, human intelligence and physical science.

Applications of Nature-Inspired Computing in Renewable Energy Systems

Mellal, Mohamed Arezki
Applications of Nature Inspired Computing in Renewable Energy Systems Book PDF

Author : Mellal, Mohamed Arezki
Publisher : IGI Global
Page : 326 pages
File Size : 54,7 Mb
Release : 2021-12-17
Category : Technology & Engineering
ISBN : 9781799885634

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Applications of Nature-Inspired Computing in Renewable Energy Systems by Mellal, Mohamed Arezki Pdf

Renewable energy is crucial to preserve the environment. This energy involves various systems that must be optimized and assessed to provide better performance; however, the design and development of renewable energy systems remains a challenge. It is crucial to implement the latest innovative research in the field in order to develop and improve renewable energy systems. Applications of Nature-Inspired Computing in Renewable Energy Systems discusses the latest research on nature-inspired computing approaches applied to the design and development of renewable energy systems and provides new solutions to the renewable energy domain. Covering topics such as microgrids, wind power, and artificial neural networks, it is ideal for engineers, industry professionals, researchers, academicians, practitioners, teachers, and students.

Handbook of Nature-Inspired Optimization Algorithms: The State of the Art

Ali Wagdy Mohamed,Diego Oliva,Ponnuthurai Nagaratnam Suganthan
Handbook of Nature Inspired Optimization Algorithms The State of the Art Book PDF

Author : Ali Wagdy Mohamed,Diego Oliva,Ponnuthurai Nagaratnam Suganthan
Publisher : Springer Nature
Page : 220 pages
File Size : 44,5 Mb
Release : 2022-09-03
Category : Technology & Engineering
ISBN : 9783031075162

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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art by Ali Wagdy Mohamed,Diego Oliva,Ponnuthurai Nagaratnam Suganthan Pdf

This book presents recent contributions and significant development, advanced issues, and challenges. In real-world problems and applications, most of the optimization problems involve different types of constraints. These problems are called constrained optimization problems (COPs). The optimization of the constrained optimization problems is considered a challenging task since the optimum solution(s) must be feasible. In their original design, evolutionary algorithms (EAs) are able to solve unconstrained optimization problems effectively. As a result, in the past decade, many researchers have developed a variety of constraint handling techniques, incorporated into (EAs) designs, to counter this deficiency. The main objective for this book is to make available a self-contained collection of modern research addressing the general constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class on optimization, but will also be useful for interested senior students working on their research projects.

Frontier Applications of Nature Inspired Computation

Mahdi Khosravy,Neeraj Gupta,Nilesh Patel,Tomonobu Senjyu
Frontier Applications of Nature Inspired Computation Book PDF

Author : Mahdi Khosravy,Neeraj Gupta,Nilesh Patel,Tomonobu Senjyu
Publisher : Springer Nature
Page : 389 pages
File Size : 46,7 Mb
Release : 2020-03-11
Category : Technology & Engineering
ISBN : 9789811521331

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Frontier Applications of Nature Inspired Computation by Mahdi Khosravy,Neeraj Gupta,Nilesh Patel,Tomonobu Senjyu Pdf

This book addresses the frontier advances in the theory and application of nature-inspired optimization techniques, including solving the quadratic assignment problem, prediction in nature-inspired dynamic optimization, the lion algorithm and its applications, optimizing the operation scheduling of microgrids, PID controllers for two-legged robots, optimizing crane operating times, planning electrical energy distribution systems, automatic design and evaluation of classification pipelines, and optimizing wind-energy power generation plants. The book also presents a variety of nature-inspired methods and illustrates methods of adapting these to said applications. Nature-inspired computation, developed by mimicking natural phenomena, makes a significant contribution toward the solution of non-convex optimization problems that normal mathematical optimizers fail to solve. As such, a wide range of nature-inspired computing approaches has been used in multidisciplinary engineering applications. Written by researchers and developers from a variety of fields, this book presents the latest findings, novel techniques and pioneering applications.

Advanced Optimization by Nature-Inspired Algorithms

Omid Bozorg-Haddad
Advanced Optimization by Nature Inspired Algorithms Book PDF

Author : Omid Bozorg-Haddad
Publisher : Springer
Page : 159 pages
File Size : 42,8 Mb
Release : 2017-06-30
Category : Technology & Engineering
ISBN : 9789811052217

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Advanced Optimization by Nature-Inspired Algorithms by Omid Bozorg-Haddad Pdf

This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.

Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems

Ganesh M. Kakandikar,Dinesh G. Thakur
Nature Inspired Optimization in Advanced Manufacturing Processes and Systems Book PDF

Author : Ganesh M. Kakandikar,Dinesh G. Thakur
Publisher : CRC Press
Page : 279 pages
File Size : 43,5 Mb
Release : 2020-12-08
Category : Technology & Engineering
ISBN : 9781000258387

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Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems by Ganesh M. Kakandikar,Dinesh G. Thakur Pdf

The manufacturing system is going through substantial changes and developments in light of Industry 4.0. Newer manufacturing technologies are being developed and applied. There is a need to optimize these techniques when applied in different circumstances with respect to materials, tools, product configurations, and process parameters. This book covers computational intelligence applied to manufacturing. It discusses nature-inspired optimization of processes and their design and development in manufacturing systems. It explores all manufacturing processes, at both macro and micro levels, and offers manufacturing philosophies. Nonconventional manufacturing, real industry problems and case studies, research on generative processes, and relevance of all this to Industry 4.0 is also included. Researchers, students, academicians, and industry professionals will find this reference title very useful.

Handbook of Nature-Inspired Optimization Algorithms: The State of the Art

Ali Mohamed,Diego Oliva,Ponnuthurai Nagaratnam Suganthan
Handbook of Nature Inspired Optimization Algorithms The State of the Art Book PDF

Author : Ali Mohamed,Diego Oliva,Ponnuthurai Nagaratnam Suganthan
Publisher : Springer Nature
Page : 282 pages
File Size : 43,7 Mb
Release : 2022-08-31
Category : Technology & Engineering
ISBN : 9783031075124

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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art by Ali Mohamed,Diego Oliva,Ponnuthurai Nagaratnam Suganthan Pdf

The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving. The main objective for this book is to make available a self-contained collection of modern research addressing the general bound-constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class on optimization, but will also be useful for interested senior students working on their research projects.

Modern Music-Inspired Optimization Algorithms for Electric Power Systems

Mohammad Kiani-Moghaddam,Mojtaba Shivaie,Philip D. Weinsier
Modern Music Inspired Optimization Algorithms for Electric Power Systems Book PDF

Author : Mohammad Kiani-Moghaddam,Mojtaba Shivaie,Philip D. Weinsier
Publisher : Springer
Page : 727 pages
File Size : 50,8 Mb
Release : 2019-05-21
Category : Technology & Engineering
ISBN : 9783030120443

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Modern Music-Inspired Optimization Algorithms for Electric Power Systems by Mohammad Kiani-Moghaddam,Mojtaba Shivaie,Philip D. Weinsier Pdf

In today’s world, with an increase in the breadth and scope of real-world engineering optimization problems as well as with the advent of big data, improving the performance and efficiency of algorithms for solving such problems has become an indispensable need for specialists and researchers. In contrast to conventional books in the field that employ traditional single-stage computational, single-dimensional, and single-homogeneous optimization algorithms, this book addresses multiple newfound architectures for meta-heuristic music-inspired optimization algorithms. These proposed algorithms, with multi-stage computational, multi-dimensional, and multi-inhomogeneous structures, bring about a new direction in the architecture of meta-heuristic algorithms for solving complicated, real-world, large-scale, non-convex, non-smooth engineering optimization problems having a non-linear, mixed-integer nature with big data. The architectures of these new algorithms may also be appropriate for finding an optimal solution or a Pareto-optimal solution set with higher accuracy and speed in comparison to other optimization algorithms, when feasible regions of the solution space and/or dimensions of the optimization problem increase. This book, unlike conventional books on power systems problems that only consider simple and impractical models, deals with complicated, techno-economic, real-world, large-scale models of power systems operation and planning. Innovative applicable ideas in these models make this book a precious resource for specialists and researchers with a background in power systems operation and planning. Provides an understanding of the optimization problems and algorithms, particularly meta-heuristic optimization algorithms, found in fields such as engineering, economics, management, and operations research; Enhances existing architectures and develops innovative architectures for meta-heuristic music-inspired optimization algorithms in order to deal with complicated, real-world, large-scale, non-convex, non-smooth engineering optimization problems having a non-linear, mixed-integer nature with big data; Addresses innovative multi-level, techno-economic, real-world, large-scale, computational-logical frameworks for power systems operation and planning, and illustrates practical training on implementation of the frameworks using the meta-heuristic music-inspired optimization algorithms.

Nature-Inspired Methods for Metaheuristics Optimization

Fouad Bennis,Rajib Kumar Bhattacharjya
Nature Inspired Methods for Metaheuristics Optimization Book PDF

Author : Fouad Bennis,Rajib Kumar Bhattacharjya
Publisher : Springer Nature
Page : 503 pages
File Size : 43,9 Mb
Release : 2020-01-17
Category : Business & Economics
ISBN : 9783030264581

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Nature-Inspired Methods for Metaheuristics Optimization by Fouad Bennis,Rajib Kumar Bhattacharjya Pdf

This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers.

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 : 45,5 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

Harmony Search and Nature Inspired Optimization Algorithms

Neha Yadav,Anupam Yadav,Jagdish Chand Bansal,Kusum Deep,Joong Hoon Kim
Harmony Search and Nature Inspired Optimization Algorithms Book PDF

Author : Neha Yadav,Anupam Yadav,Jagdish Chand Bansal,Kusum Deep,Joong Hoon Kim
Publisher : Springer
Page : 1238 pages
File Size : 43,7 Mb
Release : 2018-08-23
Category : Technology & Engineering
ISBN : 9789811307614

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Harmony Search and Nature Inspired Optimization Algorithms by Neha Yadav,Anupam Yadav,Jagdish Chand Bansal,Kusum Deep,Joong Hoon Kim Pdf

The book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Fourth International Conference on Harmony Search, Soft Computing and Applications held at BML Munjal University, Gurgaon, India on February 7–9, 2018. It consists of research articles on novel and newly proposed optimization algorithms; the theoretical study of nature-inspired optimization algorithms; numerically established results of nature-inspired optimization algorithms; and real-world applications of optimization algorithms and synthetic benchmarking of optimization algorithms.

Intelligent Computing in Control and Communication

G.T. Chandra Sekhar,H. S. Behera,Janmenjoy Nayak,Bighnaraj Naik,Danilo Pelusi
Intelligent Computing in Control and Communication Book PDF

Author : G.T. Chandra Sekhar,H. S. Behera,Janmenjoy Nayak,Bighnaraj Naik,Danilo Pelusi
Publisher : Springer Nature
Page : 680 pages
File Size : 54,8 Mb
Release : 2021-01-04
Category : Technology & Engineering
ISBN : 9789811584398

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Intelligent Computing in Control and Communication by G.T. Chandra Sekhar,H. S. Behera,Janmenjoy Nayak,Bighnaraj Naik,Danilo Pelusi Pdf

This book consists of peer-reviewed papers presented at the First International Conference on Intelligent Computing in Control and Communication (ICCC 2020). It comprises interesting topics in the field of applications of control engineering, communication and computing technology. As the current world is witnessing the use of various intelligent techniques for their independent problem solving, so this book may have a wide importance for all range of researchers and scholars. The book serves as a reference for researchers, professionals and students from across electrical, electronic and computer engineering disciplines.

Applications of Nature-Inspired Computing and Optimization Techniques

Anonim
Applications of Nature Inspired Computing and Optimization Techniques Book PDF

Author : Anonim
Publisher : Elsevier
Page : 566 pages
File Size : 47,5 Mb
Release : 2024-04-04
Category : Mathematics
ISBN : 9780323957694

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Applications of Nature-Inspired Computing and Optimization Techniques by Anonim Pdf

Advances in Computers, Volume 135 highlights advances in the field, with this new volume, Applications of Nature-inspired Computing and Optimization Techniques presenting interesting chapters on a variety of timely topics, including A Brief Introduction to Nature-inspired Computing, Optimization and Applications, Overview of Non-linear Interval Optimization Problems, Solving the Aircraft Landing Problem using the Bee Colony Optimization (BCO) Algorithm, Situation-based Genetic Network Programming to Solve Agent Control Problems, Small Signal Stability Enhancement of Large Interconnected Power System using Grasshopper Optimization Algorithm Tuned Power System Stabilizer, Air Quality Modelling for Smart Cities of India by Nature Inspired AI – A Sustainable Approach, and much more. Other sections cover Genetic Algorithm for the Optimization of Infectiological Parameter Values under Different Nutritional Status, A Novel Influencer Mutation Strategy for Nature-inspired Optimization Algorithms to Solve Electricity Price Forecasting Problem, Recent Trends in Human and Bio Inspired Computing: Use Case Study from Retail Perspective, Domain Knowledge Enriched Summarization of Legal Judgment Documents via Grey Wolf Optimization, and a host of other topics. Includes algorithm specific studies that cover basic introduction and analysis of key components of algorithms, such as convergence, solution accuracy, computational costs, tuning, and control of parameters Comprises some of the major applications of different domains Presents application specific studies, incorporating ways of designing objective functions, solution representation, and constraint handling

Nature-Inspired Computing

Nazmul H. Siddique,Hojjat Adeli
Nature Inspired Computing Book PDF

Author : Nazmul H. Siddique,Hojjat Adeli
Publisher : CRC Press
Page : 596 pages
File Size : 50,7 Mb
Release : 2017-05-19
Category : Computers
ISBN : 9781482244830

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Nature-Inspired Computing by Nazmul H. Siddique,Hojjat Adeli Pdf

Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a comprehensive introduction to the methodologies and algorithms in nature-inspired computing, with an emphasis on applications to real-life engineering problems. The research interest for Nature-inspired Computing has grown considerably exploring different phenomena observed in nature and basic principles of physics, chemistry, and biology. The discipline has reached a mature stage and the field has been well-established. This endeavour is another attempt at investigation into various computational schemes inspired from nature, which are presented in this book with the development of a suitable framework and industrial applications. Designed for senior undergraduates, postgraduates, research students, and professionals, the book is written at a comprehensible level for students who have some basic knowledge of calculus and differential equations, and some exposure to optimization theory. Due to the focus on search and optimization, the book is also appropriate for electrical, control, civil, industrial and manufacturing engineering, business, and economics students, as well as those in computer and information sciences. With the mathematical and programming references and applications in each chapter, the book is self-contained, and can also serve as a reference for researchers and scientists in the fields of system science, natural computing, and optimization.

Recent Developments in Intelligent Nature-Inspired Computing

Patnaik, Srikanta
Recent Developments in Intelligent Nature Inspired Computing Book PDF

Author : Patnaik, Srikanta
Publisher : IGI Global
Page : 264 pages
File Size : 53,9 Mb
Release : 2017-03-09
Category : Computers
ISBN : 9781522523239

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Recent Developments in Intelligent Nature-Inspired Computing by Patnaik, Srikanta Pdf

The development of nature-inspired computational techniques has enhanced problem solving in dynamic and uncertain environments. By implementing effective computing strategies, this ensures adaptable, self-organizing, and decentralized behavioral techniques. Recent Developments in Intelligent Nature-Inspired Computing is an authoritative reference source for the latest scholarly material on natural computation methods and applications in diverse fields. Highlighting multidisciplinary studies on swarm intelligence, global optimization, and group technology, this publication is an ideal reference source for professionals, researchers, scholars, and engineers interested in the latest developments in computer science methodologies.