Meta Heuristic Optimization Techniques
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Meta Heuristic Optimization Techniques
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Author : Anuj Kumar
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2022-01-19
Meta Heuristic Optimization Techniques written by Anuj Kumar and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-19 with Computers categories.
This book offer a thorough overview of the most popular and researched meta-heuristic optimization techniques and nature inspired algorithms. Their wide applicability makes them a hot research topic and an efficient tool for the solution of complex optimization problems in various field of sciences, engineering and in numerous industries.
Meta Heuristic Optimization Techniques
DOWNLOAD
Author : Anuj Kumar
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2022-01-19
Meta Heuristic Optimization Techniques written by Anuj Kumar and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-19 with Computers categories.
This book offers a thorough overview of the most popular and researched meta-heuristic optimization techniques and nature-inspired algorithms. Their wide applicability makes them a hot research topic and an effi cient tool for the solution of complex optimization problems in various fi elds of sciences, engineering, and in numerous industries.
Modern Heuristic Optimization Techniques
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Author : Kwang Y. Lee
language : en
Publisher: John Wiley & Sons
Release Date : 2008-01-28
Modern Heuristic Optimization Techniques written by Kwang Y. Lee and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-28 with Technology & Engineering categories.
This book explores how developing solutions with heuristic tools offers two major advantages: shortened development time and more robust systems. It begins with an overview of modern heuristic techniques and goes on to cover specific applications of heuristic approaches to power system problems, such as security assessment, optimal power flow, power system scheduling and operational planning, power generation expansion planning, reactive power planning, transmission and distribution planning, network reconfiguration, power system control, and hybrid systems of heuristic methods.
Meta Heuristics Optimization Algorithms In Engineering Business Economics And Finance
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Author : Vasant, Pandian M.
language : en
Publisher: IGI Global
Release Date : 2012-09-30
Meta Heuristics Optimization Algorithms In Engineering Business Economics And Finance written by Vasant, Pandian M. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-30 with Computers categories.
Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and financial systems, modern optimization has played an important role in service-centered operations and as such has attracted more attention to this field. Meta-heuristic hybrid optimization is a newly development mathematical framework based optimization technique. Designed by logicians, engineers, analysts, and many more, this technique aims to study the complexity of algorithms and problems. Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists.
Meta Heuristic Techniques In Software Engineering And Its Applications
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Author : Mihir Narayan Mohanty
language : en
Publisher: Springer Nature
Release Date : 2022-10-17
Meta Heuristic Techniques In Software Engineering And Its Applications written by Mihir Narayan Mohanty and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-17 with Technology & Engineering categories.
This book discusses an integration of machine learning with metaheuristic techniques that provide more robust and efficient ways to address traditional optimization problems. Modern metaheuristic techniques, along with their main characteristics and recent applications in artificial intelligence, software engineering, data mining, planning and scheduling, logistics and supply chains, are discussed in this book and help global leaders in fast decision making by providing quality solutions to important problems in business, engineering, economics and science. Novel ways are also discovered to attack unsolved problems in software testing and machine learning. The discussion on foundations of optimization and algorithms leads beginners to apply current approaches to optimization problems. The discussed metaheuristic algorithms include genetic algorithms, simulated annealing, ant algorithms, bee algorithms and particle swarm optimization. New developments on metaheuristics attract researchers and practitioners to apply hybrid metaheuristics in real scenarios.
Metaheuristic And Machine Learning Optimization Strategies For Complex Systems
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Author : R., Thanigaivelan
language : en
Publisher: IGI Global
Release Date : 2024-07-17
Metaheuristic And Machine Learning Optimization Strategies For Complex Systems written by R., Thanigaivelan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Computers categories.
In contemporary engineering domains, optimization and decision-making issues are crucial. Given the vast amounts of available data, processing times and memory usage can be substantial. Developing and implementing novel heuristic algorithms is time-consuming, yet even minor improvements in solutions can significantly reduce computational costs. In such scenarios, the creation of heuristics and metaheuristic algorithms has proven advantageous. The convergence of machine learning and metaheuristic algorithms offers a promising approach to address these challenges. Metaheuristic and Machine Learning Optimization Strategies for Complex Systems covers all areas of comprehensive information about hyper-heuristic models, hybrid meta-heuristic models, nature-inspired computing models, and meta-heuristic models. The key contribution of this book is the construction of a hyper-heuristic approach for any general problem domain from a meta-heuristic algorithm. Covering topics such as cloud computing, internet of things, and performance evaluation, this book is an essential resource for researchers, postgraduate students, educators, data scientists, machine learning engineers, software developers and engineers, policy makers, and more.
Modern Optimization Techniques For Advanced Machining
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Author : Imhade P. Okokpujie
language : en
Publisher: Springer Nature
Release Date : 2023-07-21
Modern Optimization Techniques For Advanced Machining written by Imhade P. Okokpujie and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-21 with Technology & Engineering categories.
Advanced manufacturing via computer numerical machining is the art of producing mechanical components employed in aerospace, automobile, and industrial applications where a high level of accuracy is needed. This book focuses on the nano-machining of aluminum alloy and its optimization. The application of aluminum alloy in the manufacturing industry has increased tremendously due to its lightweight to high strength ratio and high-level resistance to corrosion. However, aluminum alloy has some challenges during the machining and manufacturing stage in order to solve real-life manufacturing challenges in advanced machining operation for sustainable production processes. Therefore, it is a need for the implementation of a general algebraic modeling system (GAMS) and other metaheuristic techniques for problem solving and to effectively develop mathematical models for high accuracy prediction and optimization under nano-lubrication machining conditions. This book discusses majorly on the major three responses in machining such as surface roughness, cutting force, and material removal rate, which will give an excellent guide to undergraduate and postgraduate students, senior research fellows in academia, operational, and strategic staff in manufacturing industries.
Metaheuristic And Evolutionary Computation Algorithms And Applications
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Author : Hasmat Malik
language : en
Publisher: Springer Nature
Release Date : 2020-10-08
Metaheuristic And Evolutionary Computation Algorithms And Applications written by Hasmat Malik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-08 with Technology & Engineering categories.
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.
Metaheuristic Algorithms And Optimizing Neural Networks For Biomedical Image Processing
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Author : Balaji, Prasanalakshmi
language : en
Publisher: IGI Global
Release Date : 2025-08-06
Metaheuristic Algorithms And Optimizing Neural Networks For Biomedical Image Processing written by Balaji, Prasanalakshmi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-06 with Medical categories.
Metaheuristic algorithms emerge as powerful tools for optimizing complex systems, particularly in neural networks, where traditional methods may cause challenges. In biomedical image processing, the integration of metaheuristics like genetic algorithms, particle swarm optimization, and differential evolution offers promising improvements in neural network performance. These algorithms help improve hyperparameters and optimize architectures, enhancing the accuracy of tasks like disease detection, image segmentation, and classification. Further research into this convergence between metaheuristic optimization and deep learning may help advance medical diagnostics and healthcare technologies. Metaheuristic Algorithms and Optimizing Neural Networks for Biomedical Image Processing explores the optimization of neural networks for biomedical image analysis. It provides valuable insights into advanced image processing for improved healthcare, advanced technology, and potential scientific and computational breakthroughs. This book covers topics such as medical imaging, genetics, and psychology, and is a useful resource for business owners, computer engineers, medical professionals, academicians, researchers, and data scientists.
Modern Music Inspired Optimization Algorithms For Electric Power Systems
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Author : Mohammad Kiani-Moghaddam
language : en
Publisher: Springer
Release Date : 2019-05-21
Modern Music Inspired Optimization Algorithms For Electric Power Systems written by Mohammad Kiani-Moghaddam and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-21 with Technology & Engineering categories.
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.