Teaching Learning Based Optimization Algorithm

Teaching Learning Based Optimization Algorithm Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Teaching Learning Based Optimization Algorithm book. This book definitely worth reading, it is an incredibly well-written.

Teaching Learning Based Optimization Algorithm

R. Venkata Rao
Teaching Learning Based Optimization Algorithm Book PDF

Author : R. Venkata Rao
Publisher : Springer
Page : 284 pages
File Size : 42,7 Mb
Release : 2015-11-14
Category : Technology & Engineering
ISBN : 9783319227320

Get Book

Teaching Learning Based Optimization Algorithm by R. Venkata Rao Pdf

Describing a new optimization algorithm, the “Teaching-Learning-Based Optimization (TLBO),” in a clear and lucid style, this book maximizes reader insights into how the TLBO algorithm can be used to solve continuous and discrete optimization problems involving single or multiple objectives. As the algorithm operates on the principle of teaching and learning, where teachers influence the quality of learners’ results, the elitist version of TLBO algorithm (ETLBO) is described along with applications of the TLBO algorithm in the fields of electrical engineering, mechanical design, thermal engineering, manufacturing engineering, civil engineering, structural engineering, computer engineering, electronics engineering, physics and biotechnology. The book offers a valuable resource for scientists, engineers and practitioners involved in the development and usage of advanced optimization algorithms.

Teaching Learning Based Optimization Algorithm

R. Venkata Rao
Teaching Learning Based Optimization Algorithm Book PDF

Author : R. Venkata Rao
Publisher : Springer
Page : 0 pages
File Size : 45,5 Mb
Release : 2015-11-23
Category : Technology & Engineering
ISBN : 3319227319

Get Book

Teaching Learning Based Optimization Algorithm by R. Venkata Rao Pdf

Describing a new optimization algorithm, the “Teaching-Learning-Based Optimization (TLBO),” in a clear and lucid style, this book maximizes reader insights into how the TLBO algorithm can be used to solve continuous and discrete optimization problems involving single or multiple objectives. As the algorithm operates on the principle of teaching and learning, where teachers influence the quality of learners’ results, the elitist version of TLBO algorithm (ETLBO) is described along with applications of the TLBO algorithm in the fields of electrical engineering, mechanical design, thermal engineering, manufacturing engineering, civil engineering, structural engineering, computer engineering, electronics engineering, physics and biotechnology. The book offers a valuable resource for scientists, engineers and practitioners involved in the development and usage of advanced optimization algorithms.

Swarm, Evolutionary, and Memetic Computing

Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das,Suresh Chandra Satapathy
Swarm Evolutionary and Memetic Computing Book PDF

Author : Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das,Suresh Chandra Satapathy
Publisher : Springer
Page : 754 pages
File Size : 41,6 Mb
Release : 2011-12-15
Category : Computers
ISBN : 9783642271724

Get Book

Swarm, Evolutionary, and Memetic Computing by Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das,Suresh Chandra Satapathy Pdf

These two volumes, LNCS 7076 and LNCS 7077, constitute the refereed proceedings of the Second International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2011, held in Visakhapatnam, India, in December 2011. The 124 revised full papers presented in both volumes were carefully reviewed and selected from 422 submissions. The papers explore new application areas, feature new bio-inspired algorithms for solving specific hard optimization problems, and review the latest progresses in the cutting-edge research with swarm, evolutionary, and memetic computing in both theoretical and practical aspects.

Metaheuristics: Outlines, MATLAB Codes and Examples

Ali Kaveh,Taha Bakhshpoori
Metaheuristics Outlines MATLAB Codes and Examples Book PDF

Author : Ali Kaveh,Taha Bakhshpoori
Publisher : Springer
Page : 190 pages
File Size : 41,7 Mb
Release : 2019-03-29
Category : Technology & Engineering
ISBN : 9783030040673

Get Book

Metaheuristics: Outlines, MATLAB Codes and Examples by Ali Kaveh,Taha Bakhshpoori Pdf

The book presents eight well-known and often used algorithms besides nine newly developed algorithms by the first author and his students in a practical implementation framework. Matlab codes and some benchmark structural optimization problems are provided. The aim is to provide an efficient context for experienced researchers or readers not familiar with theory, applications and computational developments of the considered metaheuristics. The information will also be of interest to readers interested in application of metaheuristics for hard optimization, comparing conceptually different metaheuristics and designing new metaheuristics.

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 : 46,9 Mb
Release : 2017-06-30
Category : Technology & Engineering
ISBN : 9789811052217

Get Book

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.

Applied Intelligent Decision Making in Machine Learning

Himansu Das,Jitendra Kumar Rout,Suresh Chandra Moharana,Nilanjan Dey
Applied Intelligent Decision Making in Machine Learning Book PDF

Author : Himansu Das,Jitendra Kumar Rout,Suresh Chandra Moharana,Nilanjan Dey
Publisher : CRC Press
Page : 263 pages
File Size : 41,9 Mb
Release : 2020-11-18
Category : Computers
ISBN : 9781000208542

Get Book

Applied Intelligent Decision Making in Machine Learning by Himansu Das,Jitendra Kumar Rout,Suresh Chandra Moharana,Nilanjan Dey Pdf

The objective of this edited book is to share the outcomes from various research domains to develop efficient, adaptive, and intelligent models to handle the challenges related to decision making. It incorporates the advances in machine intelligent techniques such as data streaming, classification, clustering, pattern matching, feature selection, and deep learning in the decision-making process for several diversified applications such as agriculture, character recognition, landslide susceptibility, recommendation systems, forecasting air quality, healthcare, exchange rate prediction, and image dehazing. It also provides a premier interdisciplinary platform for scientists, researchers, practitioners, and educators to share their thoughts in the context of recent innovations, trends, developments, practical challenges, and advancements in the field of data mining, machine learning, soft computing, and decision science. It also focuses on the usefulness of applied intelligent techniques in the decision-making process in several aspects. To address these objectives, this edited book includes a dozen chapters contributed by authors from around the globe. The authors attempt to solve these complex problems using several intelligent machine-learning techniques. This allows researchers to understand the mechanism needed to harness the decision-making process using machine-learning techniques for their own respective endeavors.

Signal and Information Processing, Networking and Computers

Yue Wang,Lexi Xu,Yufeng Yan,Jiaqi Zou
Signal and Information Processing Networking and Computers Book PDF

Author : Yue Wang,Lexi Xu,Yufeng Yan,Jiaqi Zou
Publisher : Springer Nature
Page : 1104 pages
File Size : 48,7 Mb
Release : 2020-12-17
Category : Technology & Engineering
ISBN : 9789813341029

Get Book

Signal and Information Processing, Networking and Computers by Yue Wang,Lexi Xu,Yufeng Yan,Jiaqi Zou Pdf

This book collects selected papers from the 7th Conference on Signal and Information Processing, Networking and Computers held in Rizhao, China, on September 21-23, 2020. The 7th International Conference on Signal and Information Processing, Networking and Computers (ICSINC) was held in Rizhao, China, on September 21-23, 2020.

Mechanical Design Optimization Using Advanced Optimization Techniques

R. Venkata Rao,Vimal J. Savsani
Mechanical Design Optimization Using Advanced Optimization Techniques Book PDF

Author : R. Venkata Rao,Vimal J. Savsani
Publisher : Springer Science & Business Media
Page : 323 pages
File Size : 42,5 Mb
Release : 2012-01-14
Category : Technology & Engineering
ISBN : 9781447127482

Get Book

Mechanical Design Optimization Using Advanced Optimization Techniques by R. Venkata Rao,Vimal J. Savsani Pdf

Mechanical design includes an optimization process in which designers always consider objectives such as strength, deflection, weight, wear, corrosion, etc. depending on the requirements. However, design optimization for a complete mechanical assembly leads to a complicated objective function with a large number of design variables. It is a good practice to apply optimization techniques for individual components or intermediate assemblies than a complete assembly. Analytical or numerical methods for calculating the extreme values of a function may perform well in many practical cases, but may fail in more complex design situations. In real design problems, the number of design parameters can be very large and their influence on the value to be optimized (the goal function) can be very complicated, having nonlinear character. In these complex cases, advanced optimization algorithms offer solutions to the problems, because they find a solution near to the global optimum within reasonable time and computational costs. Mechanical Design Optimization Using Advanced Optimization Techniques presents a comprehensive review on latest research and development trends for design optimization of mechanical elements and devices. Using examples of various mechanical elements and devices, the possibilities for design optimization with advanced optimization techniques are demonstrated. Basic and advanced concepts of traditional and advanced optimization techniques are presented, along with real case studies, results of applications of the proposed techniques, and the best optimization strategies to achieve best performance are highlighted. Furthermore, a novel advanced optimization method named teaching-learning-based optimization (TLBO) is presented in this book and this method shows better performance with less computational effort for the large scale problems. Mechanical Design Optimization Using Advanced Optimization Techniques is intended for designers, practitioners, managers, institutes involved in design related projects, applied research workers, academics, and graduate students in mechanical and industrial engineering and will be useful to the industrial product designers for realizing a product as it presents new models and optimization techniques to make tasks easier, logical, efficient and effective. .

Evolutionary Optimization Algorithms

Dan Simon
Evolutionary Optimization Algorithms Book PDF

Author : Dan Simon
Publisher : John Wiley & Sons
Page : 776 pages
File Size : 46,9 Mb
Release : 2013-06-13
Category : Mathematics
ISBN : 9781118659502

Get Book

Evolutionary Optimization Algorithms by Dan Simon Pdf

A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant colonies. This book discusses the theory, history, mathematics, and programming of evolutionary optimization algorithms. Featured algorithms include genetic algorithms, genetic programming, ant colony optimization, particle swarm optimization, differential evolution, biogeography-based optimization, and many others. Evolutionary Optimization Algorithms: Provides a straightforward, bottom-up approach that assists the reader in obtaining a clear but theoretically rigorous understanding of evolutionary algorithms, with an emphasis on implementation Gives a careful treatment of recently developed EAs including opposition-based learning, artificial fish swarms, bacterial foraging, and many others and discusses their similarities and differences from more well-established EAs Includes chapter-end problems plus a solutions manual available online for instructors Offers simple examples that provide the reader with an intuitive understanding of the theory Features source code for the examples available on the author's website Provides advanced mathematical techniques for analyzing EAs, including Markov modeling and dynamic system modeling Evolutionary Optimization Algorithms: Biologically Inspired and Population-Based Approaches to Computer Intelligence is an ideal text for advanced undergraduate students, graduate students, and professionals involved in engineering and computer science.

Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering

Kim, Dookie,Sekhar Roy, Sanjiban,Länsivaara, Tim,Deo, Ravinesh,Samui, Pijush
Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering Book PDF

Author : Kim, Dookie,Sekhar Roy, Sanjiban,Länsivaara, Tim,Deo, Ravinesh,Samui, Pijush
Publisher : IGI Global
Page : 618 pages
File Size : 55,9 Mb
Release : 2018-06-15
Category : Technology & Engineering
ISBN : 9781522547679

Get Book

Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering by Kim, Dookie,Sekhar Roy, Sanjiban,Länsivaara, Tim,Deo, Ravinesh,Samui, Pijush Pdf

The disciplines of science and engineering rely heavily on the forecasting of prospective constraints for concepts that have not yet been proven to exist, especially in areas such as artificial intelligence. Obtaining quality solutions to the problems presented becomes increasingly difficult due to the number of steps required to sift through the possible solutions, and the ability to solve such problems relies on the recognition of patterns and the categorization of data into specific sets. Predictive modeling and optimization methods allow unknown events to be categorized based on statistics and classifiers input by researchers. The Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering is a critical reference source that provides comprehensive information on the use of optimization techniques and predictive models to solve real-life engineering and science problems. Through discussions on techniques such as robust design optimization, water level prediction, and the prediction of human actions, this publication identifies solutions to developing problems and new solutions for existing problems, making this publication a valuable resource for engineers, researchers, graduate students, and other professionals.

Evolutionary Optimization Algorithms

Altaf Q. H. Badar
Evolutionary Optimization Algorithms Book PDF

Author : Altaf Q. H. Badar
Publisher : CRC Press
Page : 273 pages
File Size : 42,6 Mb
Release : 2021-10-30
Category : Technology & Engineering
ISBN : 9781000462142

Get Book

Evolutionary Optimization Algorithms by Altaf Q. H. Badar Pdf

This comprehensive reference text discusses evolutionary optimization techniques, to find optimal solutions for single and multi-objective problems. The text presents each evolutionary optimization algorithm along with its history and other working equations. It also discusses variants and hybrids of optimization techniques. The text presents step-by-step solution to a problem and includes software’s like MATLAB and Python for solving optimization problems. It covers important optimization algorithms including single objective optimization, multi objective optimization, Heuristic optimization techniques, shuffled frog leaping algorithm, bacteria foraging algorithm and firefly algorithm. Aimed at senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, mechanical engineering, and computer science and engineering, this text: Provides step-by-step solution for each evolutionary optimization algorithm. Provides flowcharts and graphics for better understanding of optimization techniques. Discusses popular optimization techniques include particle swarm optimization and genetic algorithm. Presents every optimization technique along with the history and working equations. Includes latest software like Python and MATLAB.

Soft Computing: Theories and Applications

Millie Pant,Kanad Ray,Tarun K. Sharma,Sanyog Rawat,Anirban Bandyopadhyay
Soft Computing Theories and Applications Book PDF

Author : Millie Pant,Kanad Ray,Tarun K. Sharma,Sanyog Rawat,Anirban Bandyopadhyay
Publisher : Springer
Page : 865 pages
File Size : 52,9 Mb
Release : 2017-11-23
Category : Technology & Engineering
ISBN : 9789811056871

Get Book

Soft Computing: Theories and Applications by Millie Pant,Kanad Ray,Tarun K. Sharma,Sanyog Rawat,Anirban Bandyopadhyay Pdf

This book focuses on soft computing and its applications to solve real-life problems occurring in different domains ranging from medical and health care, supply chain management and image processing to cryptanalysis. It presents the proceedings of International Conference on Soft Computing: Theories and Applications (SoCTA 2016), offering significant insights into soft computing for teachers and researchers and inspiring more and more researchers to work in the field of soft computing. The term soft computing represents an umbrella term for computational techniques like fuzzy logic, neural networks, and nature inspired algorithms. In the past few decades, there has been an exponential rise in the application of soft computing techniques for solving complex and intricate problems arising in different spheres of life. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. SoCTA is the first international conference being organized at Amity University Rajasthan (AUR), Jaipur. The objective of SoCTA 2016 is to provide a common platform to researchers, academicians, scientists, and industrialists working in the area of soft computing to share and exchange their views and ideas on the theory and application of soft computing techniques in multi-disciplinary areas. The aim of the conference is to bring together young and experienced researchers, academicians, scientists, and industrialists for the exchange of knowledge. SoCTA especially encourages the young researchers at the beginning of their career to participate in this conference and present their work on this platform.

Handbook of AI-based Metaheuristics

Anand J. Kulkarni,Patrick Siarry
Handbook of AI based Metaheuristics Book PDF

Author : Anand J. Kulkarni,Patrick Siarry
Publisher : CRC Press
Page : 584 pages
File Size : 50,5 Mb
Release : 2021-09-01
Category : Computers
ISBN : 9781000434255

Get Book

Handbook of AI-based Metaheuristics by Anand J. Kulkarni,Patrick Siarry Pdf

At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.

Intelligent Renewable Energy Systems

Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen
Intelligent Renewable Energy Systems Book PDF

Author : Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen
Publisher : John Wiley & Sons
Page : 484 pages
File Size : 43,9 Mb
Release : 2022-01-19
Category : Computers
ISBN : 9781119786276

Get Book

Intelligent Renewable Energy Systems by Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen Pdf

INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.

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 : 51,6 Mb
Release : 2020-01-17
Category : Business & Economics
ISBN : 9783030264581

Get Book

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.