Optimization Techniques For Solving Complex Problems

Optimization Techniques For Solving Complex Problems 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 Optimization Techniques For Solving Complex Problems book. This book definitely worth reading, it is an incredibly well-written.

Optimization Techniques for Solving Complex Problems

Enrique Alba,Christian Blum,Pedro Asasi,Coromoto Leon,Juan Antonio Gomez
Optimization Techniques for Solving Complex Problems Book PDF

Author : Enrique Alba,Christian Blum,Pedro Asasi,Coromoto Leon,Juan Antonio Gomez
Publisher : John Wiley & Sons
Page : 504 pages
File Size : 45,7 Mb
Release : 2009-02-17
Category : Computers
ISBN : 0470411341

Get Book

Optimization Techniques for Solving Complex Problems by Enrique Alba,Christian Blum,Pedro Asasi,Coromoto Leon,Juan Antonio Gomez Pdf

Real-world problems and modern optimization techniques to solve them Here, a team of international experts brings together core ideas for solving complex problems in optimization across a wide variety of real-world settings, including computer science, engineering, transportation, telecommunications, and bioinformatics. Part One—covers methodologies for complex problem solving including genetic programming, neural networks, genetic algorithms, hybrid evolutionary algorithms, and more. Part Two—delves into applications including DNA sequencing and reconstruction, location of antennae in telecommunication networks, metaheuristics, FPGAs, problems arising in telecommunication networks, image processing, time series prediction, and more. All chapters contain examples that illustrate the applications themselves as well as the actual performance of the algorithms.?Optimization Techniques for Solving Complex Problems is a valuable resource for practitioners and researchers who work with optimization in real-world settings.

100 Optimization Techniques

Subrata Pandey
100 Optimization Techniques Book PDF

Author : Subrata Pandey
Publisher : SUBRATA PANDEY
Page : 103 pages
File Size : 43,7 Mb
Release : 2023-02-23
Category : Technology & Engineering
ISBN : 8210379456XXX

Get Book

100 Optimization Techniques by Subrata Pandey Pdf

100 optimization techniques is intended as a handbook for optimization techniques. Optimization techniques and algorithms are methods used to find the most efficient solution to a problem. Different techniques and algorithms may be used to solve a particular problem, depending on the nature of the problem. Researchers from varieties of domains are using optimization algorithms to solve problems in their domain. Different optimization techniques have their pros and cons. This book serves as a handbook for researchers who wants to know about different optimization methods currently available and their operating principles. One hundred optimization techniques are arranged in an alphabetical order. Researchers and students who want to use different optimization techniques for solving their domain related problems will find this book helpful.

Optimization Techniques With MATLAB

Subrata Pandey
Optimization Techniques With MATLAB Book PDF

Author : Subrata Pandey
Publisher : SUBRATA PANDEY
Page : 48 pages
File Size : 41,7 Mb
Release : 2023-03-03
Category : Technology & Engineering
ISBN : 8210379456XXX

Get Book

Optimization Techniques With MATLAB by Subrata Pandey Pdf

Optimization is a critical area in the fields of science, engineering, and mathematics. It involves finding the optimal solution among feasible alternatives to satisfy certain constraints. Optimization techniques can be applied to a wide range of applications, including finance, machine learning, signal processing, control systems, and many others. This book provides a comprehensive introduction to optimization techniques and their implementation using MATLAB. MATLAB is a powerful computational tool widely used in academia and industry for numerical analysis and scientific computing. The combination of optimization techniques and MATLAB provides a powerful framework for solving complex problems in a variety of fields.

Construction Program Management – Decision Making and Optimization Techniques

Ali D. Haidar
Construction Program Management Decision Making and Optimization Techniques Book PDF

Author : Ali D. Haidar
Publisher : Springer
Page : 183 pages
File Size : 40,6 Mb
Release : 2015-09-12
Category : Business & Economics
ISBN : 9783319207742

Get Book

Construction Program Management – Decision Making and Optimization Techniques by Ali D. Haidar Pdf

Exploring complex and intelligent analytical and mathematical methods, this book examines how different approaches can be used to optimize program management in the construction industry. It presents an in-depth study of the different program management methods, ranging from simple decision-making techniques and statistics analysis to the more complex linear programming and demonstrates how knowledge-base systems and genetic algorithms can be used to optimize resources and meet time, budget and quality criteria. It addresses topics including decision-making principles, planning and scheduling, mathematical forecasting models, optimization techniques programming and artificial intelligence techniques. Providing a valuable resource for anyone managing multiple projects in the construction industry, this book is intended for civil and construction engineering students, project managers, construction managers and senior engineers.

Meta-heuristic Optimization Techniques

Anuj Kumar,Sangeeta Pant,Mangey Ram,Om Yadav
Meta heuristic Optimization Techniques Book PDF

Author : Anuj Kumar,Sangeeta Pant,Mangey Ram,Om Yadav
Publisher : Walter de Gruyter GmbH & Co KG
Page : 202 pages
File Size : 41,9 Mb
Release : 2022-01-19
Category : Computers
ISBN : 9783110716214

Get Book

Meta-heuristic Optimization Techniques by Anuj Kumar,Sangeeta Pant,Mangey Ram,Om Yadav Pdf

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.

Intelligent Computing Techniques for Smart Energy Systems

Akhtar Kalam,Khaleequr Rehman Niazi,Amit Soni,Shahbaz Ahmed Siddiqui,Ankit Mundra
Intelligent Computing Techniques for Smart Energy Systems Book PDF

Author : Akhtar Kalam,Khaleequr Rehman Niazi,Amit Soni,Shahbaz Ahmed Siddiqui,Ankit Mundra
Publisher : Springer Nature
Page : 1011 pages
File Size : 44,8 Mb
Release : 2019-12-16
Category : Technology & Engineering
ISBN : 9789811502149

Get Book

Intelligent Computing Techniques for Smart Energy Systems by Akhtar Kalam,Khaleequr Rehman Niazi,Amit Soni,Shahbaz Ahmed Siddiqui,Ankit Mundra Pdf

The book compiles the research works related to smart solutions concept in context to smart energy systems, maintaining electrical grid discipline and resiliency, computational collective intelligence consisted of interaction between smart devices, smart environments and smart interactions, as well as information technology support for such areas. It includes high-quality papers presented in the International Conference on Intelligent Computing Techniques for Smart Energy Systems organized by Manipal University Jaipur. This book will motivate scholars to work in these areas. The book also prophesies their approach to be used for the business and the humanitarian technology development as research proposal to various government organizations for funding approval.

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 : 50,7 Mb
Release : 2024-04-04
Category : Mathematics
ISBN : 9780323957694

Get Book

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

Engineering Optimization

Singiresu S. Rao
Engineering Optimization Book PDF

Author : Singiresu S. Rao
Publisher : John Wiley & Sons
Page : 832 pages
File Size : 41,5 Mb
Release : 2019-10-30
Category : Technology & Engineering
ISBN : 9781119454793

Get Book

Engineering Optimization by Singiresu S. Rao Pdf

The revised and updated new edition of the popular optimization book for engineers The thoroughly revised and updated fifth edition of Engineering Optimization: Theory and Practice offers engineers a guide to the important optimization methods that are commonly used in a wide range of industries. The author—a noted expert on the topic—presents both the classical and most recent optimizations approaches. The book introduces the basic methods and includes information on more advanced principles and applications. The fifth edition presents four new chapters: Solution of Optimization Problems Using MATLAB; Metaheuristic Optimization Methods; Multi-Objective Optimization Methods; and Practical Implementation of Optimization. All of the book's topics are designed to be self-contained units with the concepts described in detail with derivations presented. The author puts the emphasis on computational aspects of optimization and includes design examples and problems representing different areas of engineering. Comprehensive in scope, the book contains solved examples, review questions and problems. This important book: Offers an updated edition of the classic work on optimization Includes approaches that are appropriate for all branches of engineering Contains numerous practical design and engineering examples Offers more than 140 illustrative examples, 500 plus references in the literature of engineering optimization, and more than 500 review questions and answers Demonstrates the use of MATLAB for solving different types of optimization problems using different techniques Written for students across all engineering disciplines, the revised edition of Engineering Optimization: Theory and Practice is the comprehensive book that covers the new and recent methods of optimization and reviews the principles and applications.

Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications

Saxena, Pratiksha
Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications Book PDF

Author : Saxena, Pratiksha
Publisher : IGI Global
Page : 403 pages
File Size : 52,7 Mb
Release : 2016-03-01
Category : Mathematics
ISBN : 9781466698864

Get Book

Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications by Saxena, Pratiksha Pdf

Optimization techniques have developed into a modern-day solution for real-world problems in various industries. As a way to improve performance and handle issues of uncertainty, optimization research becomes a topic of special interest across disciplines. Problem Solving and Uncertainty Modeling through Optimization and Soft Computing Applications presents the latest research trends and developments in the area of applied optimization methodologies and soft computing techniques for solving complex problems. Taking a multi-disciplinary approach, this critical publication is an essential reference source for engineers, managers, researchers, and post-graduate students.

Metaheuristics and Optimization in Civil Engineering

Xin-She Yang,Gebrail Bekdaş,Sinan Melih Nigdeli
Metaheuristics and Optimization in Civil Engineering Book PDF

Author : Xin-She Yang,Gebrail Bekdaş,Sinan Melih Nigdeli
Publisher : Springer
Page : 302 pages
File Size : 43,5 Mb
Release : 2015-12-10
Category : Technology & Engineering
ISBN : 9783319262451

Get Book

Metaheuristics and Optimization in Civil Engineering by Xin-She Yang,Gebrail Bekdaş,Sinan Melih Nigdeli Pdf

This timely book deals with a current topic, i.e. the applications of metaheuristic algorithms, with a primary focus on optimization problems in civil engineering. The first chapter offers a concise overview of different kinds of metaheuristic algorithms, explaining their advantages in solving complex engineering problems that cannot be effectively tackled by traditional methods, and citing the most important works for further reading. The remaining chapters report on advanced studies on the applications of certain metaheuristic algorithms to specific engineering problems. Genetic algorithm, bat algorithm, cuckoo search, harmony search and simulated annealing are just some of the methods presented and discussed step by step in real-application contexts, in which they are often used in combination with each other. Thanks to its synthetic yet meticulous and practice-oriented approach, the book is a perfect guide for graduate students, researchers and professionals willing to applying metaheuristic algorithms in civil engineering and other related engineering fields, such as mechanical, transport and geotechnical engineering. It is also a valuable aid for both lectures and advanced engineering students.

Soft Computing Principles and Integration for Real-Time Service-Oriented Computing

Punit Gupta,Dinesh Kumar Saini,Kashif Zia
Soft Computing Principles and Integration for Real Time Service Oriented Computing Book PDF

Author : Punit Gupta,Dinesh Kumar Saini,Kashif Zia
Publisher : CRC Press
Page : 253 pages
File Size : 47,6 Mb
Release : 2024-03-22
Category : Computers
ISBN : 9781003859031

Get Book

Soft Computing Principles and Integration for Real-Time Service-Oriented Computing by Punit Gupta,Dinesh Kumar Saini,Kashif Zia Pdf

In recent years, soft computing techniques have emerged as a successful tool to understand and analyze the collective behavior of service- oriented computing software. Algorithms and mechanisms of self- organization of complex natural systems have been used to solve problems, particularly in complex systems, which are adaptive, ever- evolving, and distributed in nature across the globe. What fits more perfectly into this scenario other than the rapidly developing era of Fog, IoT, and Edge computing environment? Service- oriented computing can be enhanced with soft computing techniques embedded inside the Cloud, Fog, and IoT systems. Soft Computing Principles and Integration for Real-Time Service-Oriented Computing explores soft computing techniques that have wide application in interdisciplinary areas. These soft computing techniques provide an optimal solution to the optimization problem using single or multiple objectives.The book focuses on basic design principles and analysis of soft computing techniques. It discusses how soft computing techniques can be used to improve quality-of-service in serviceoriented architectures. The book also covers applications and integration of soft computing techniques with a service- oriented computing paradigm. Highlights of the book include: A general introduction to soft computing An extensive literature study of soft computing techniques and emerging trends Soft computing techniques based on the principles of artificial intelligence, fuzzy logic, and neural networks The implementation of SOC with a focus on service composition and orchestration, quality of service (QoS) considerations, security and privacy concerns, governance challenges, and the integration of legacy systems The applications of soft computing in adaptive service composition, intelligent service recommendation, fault detection and diagnosis, SLA management, and security Such principles underlying SOC as loose coupling, reusability, interoperability, and abstraction An IoT based framework for real time data collection and analysis using soft computing

Optimization and Business Improvement Studies in Upstream Oil and Gas Industry

Sanjib Chowdhury
Optimization and Business Improvement Studies in Upstream Oil and Gas Industry Book PDF

Author : Sanjib Chowdhury
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 52,7 Mb
Release : 2016-08-01
Category : Technology & Engineering
ISBN : 9781119246589

Get Book

Optimization and Business Improvement Studies in Upstream Oil and Gas Industry by Sanjib Chowdhury Pdf

Delves into the core and functional areas in the upstream oil and gas industry covering a wide range of operations and processes Oil and gas exploration and production (E&P) activities are costly, risky and technology-intensive. With the rise in global demand for oil and fast depletion of easy reserves, the search for oil is directed to more difficult areas – deepwater, arctic region, hostile terrains; and future production is expected to come from increasingly difficult reserves – deeper horizon, low quality crude. All these are making E&P activities even more challenging in terms of operations, technology, cost and risk. Therefore, it is necessary to use scarce resources judiciously and optimize strategies, cost and capital, and improve business performance in all spheres of E&P business. Optimization and Business Improvement Studies in Upstream Oil and Gas Industry contains eleven real-life optimization and business improvement studies that delve into the core E&P activities and functional areas covering a wide range of operations and processes. It uses various quantitative and qualitative techniques, such as Linear Programing, Queuing theory, Critical Path Analysis, Economic analysis, Best Practices Benchmark, Business Process Simplification etc. to optimize Productivity of drilling operations Controllable rig time loss Deepwater exploration strategy Rig move time and activity schedule Offshore supply vessel fleet size Supply chain management system Strategic workforce and human resource productivity Base oil price for a country Standardize consumption of materials Develop uniform safety standards for offshore installations Improve organizational efficiency through business process simplification The book will be of immense interest to practicing managers, professionals and employees at all levels/ disciplines in oil and gas industry. It will also be useful to academicians, scholars, educational institutes, energy research institutes, and consultants dealing with oil and gas. The work can be used as a practical guide to upstream professionals and students in petroleum engineering programs.

Handbook of Moth-Flame Optimization Algorithm

Seyedali Mirjalili
Handbook of Moth Flame Optimization Algorithm Book PDF

Author : Seyedali Mirjalili
Publisher : CRC Press
Page : 297 pages
File Size : 52,9 Mb
Release : 2022-09-20
Category : Computers
ISBN : 9781000655674

Get Book

Handbook of Moth-Flame Optimization Algorithm by Seyedali Mirjalili Pdf

Moth-Flame Optimization algorithm is an emerging meta-heuristic and has been widely used in both science and industry. Solving optimization problem using this algorithm requires addressing a number of challenges, including multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, and noisy parameters. Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications provides an in-depth analysis of this algorithm and the existing methods in the literature to cope with such challenges. Key Features: Reviews the literature of the Moth-Flame Optimization algorithm Provides an in-depth analysis of equations, mathematical models, and mechanisms of the Moth-Flame Optimization algorithm Proposes different variants of the Moth-Flame Optimization algorithm to solve binary, multi-objective, noisy, dynamic, and combinatorial optimization problems Demonstrates how to design, develop, and test different hybrids of Moth-Flame Optimization algorithm Introduces several applications areas of the Moth-Flame Optimization algorithm This handbook will interest researchers in evolutionary computation and meta-heuristics and those who are interested in applying Moth-Flame Optimization algorithm and swarm intelligence methods overall to different application areas.

Advanced Techniques for IoT Applications

Jyotsna Kumar Mandal,Debashis De
Advanced Techniques for IoT Applications Book PDF

Author : Jyotsna Kumar Mandal,Debashis De
Publisher : Springer Nature
Page : 626 pages
File Size : 41,5 Mb
Release : 2021-08-02
Category : Technology & Engineering
ISBN : 9789811644351

Get Book

Advanced Techniques for IoT Applications by Jyotsna Kumar Mandal,Debashis De Pdf

This book includes original, unpublished contributions presented at the Sixth International Conference on Emerging Applications of Information Technology (EAIT 2020), held at the University of Kalyani, Kalyani, West Bengal, India, on November 2020. The book covers the topics such as image processing, computer vision, pattern recognition, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks, and IoT. It will also include IoT application-related papers in pattern recognition, artificial intelligence, expert systems, natural language understanding, image processing, computer vision, applications in biomedical engineering, artificial neural networks, fuzzy logic, evolutionary optimization, data mining, Web intelligence, intelligent agent technology, virtual reality, and visualization.

Numerical Methods and Optimization

Éric Walter
Numerical Methods and Optimization Book PDF

Author : Éric Walter
Publisher : Springer
Page : 476 pages
File Size : 51,6 Mb
Release : 2014-07-22
Category : Technology & Engineering
ISBN : 9783319076713

Get Book

Numerical Methods and Optimization by Éric Walter Pdf

Initial training in pure and applied sciences tends to present problem-solving as the process of elaborating explicit closed-form solutions from basic principles, and then using these solutions in numerical applications. This approach is only applicable to very limited classes of problems that are simple enough for such closed-form solutions to exist. Unfortunately, most real-life problems are too complex to be amenable to this type of treatment. Numerical Methods – a Consumer Guide presents methods for dealing with them. Shifting the paradigm from formal calculus to numerical computation, the text makes it possible for the reader to · discover how to escape the dictatorship of those particular cases that are simple enough to receive a closed-form solution, and thus gain the ability to solve complex, real-life problems; · understand the principles behind recognized algorithms used in state-of-the-art numerical software; · learn the advantages and limitations of these algorithms, to facilitate the choice of which pre-existing bricks to assemble for solving a given problem; and · acquire methods that allow a critical assessment of numerical results. Numerical Methods – a Consumer Guide will be of interest to engineers and researchers who solve problems numerically with computers or supervise people doing so, and to students of both engineering and applied mathematics.