Optimizing Solutions For Real Life Problems
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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.
Optimizing Solutions For Real Life Problems
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Author : Nilanjan Dey
language : en
Publisher:
Release Date : 2025-07-14
Optimizing Solutions For Real Life Problems written by Nilanjan Dey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-14 with Computers categories.
Optimizing Engineering Problems Through Heuristic Techniques
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Author : Kaushik Kumar
language : en
Publisher: CRC Press
Release Date : 2019-12-06
Optimizing Engineering Problems Through Heuristic Techniques written by Kaushik Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-06 with Computers categories.
This book will cover heuristic optimization techniques and applications in engineering problems. The book will be divided into three sections that will provide coverage of the techniques, which can be employed by engineers, researchers, and manufacturing industries, to improve their productivity with the sole motive of socio-economic development. This will be the first book in the category of heuristic techniques with relevance to engineering problems and achieving optimal solutions. Features Explains the concept of optimization and the relevance of using heuristic techniques for optimal solutions in engineering problems Illustrates the various heuristics techniques Describes evolutionary heuristic techniques like genetic algorithm and particle swarm optimization Contains natural based techniques like ant colony optimization, bee algorithm, firefly optimization, and cuckoo search Offers sample problems and their optimization, using various heuristic techniques
Classical And Recent Aspects Of Power System Optimization
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Author : Ahmed F. Zobaa
language : en
Publisher: Academic Press
Release Date : 2018-06-29
Classical And Recent Aspects Of Power System Optimization written by Ahmed F. Zobaa and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-29 with Technology & Engineering categories.
Classical and Recent Aspects of Power System Optimization presents conventional and meta-heuristic optimization methods and algorithms for power system studies. The classic aspects of optimization in power systems, such as optimal power flow, economic dispatch, unit commitment and power quality optimization are covered, as are issues relating to distributed generation sizing, allocation problems, scheduling of renewable resources, energy storage, power reserve based problems, efficient use of smart grid capabilities, and protection studies in modern power systems. The book brings together innovative research outcomes, programs, algorithms and approaches that consolidate the present state and future challenges for power. - Analyzes and compares several aspects of optimization for power systems which has never been addressed in one reference - Details real-life industry application examples for each chapter (e.g. energy storage and power reserve problems) - Provides practical training on theoretical developments and application of advanced methods for optimum electrical energy for realistic engineering problems
Application Of Evolutionary Algorithms For Multi Objective Optimization In Vlsi And Embedded Systems
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Author : M.C. Bhuvaneswari
language : en
Publisher: Springer
Release Date : 2014-08-20
Application Of Evolutionary Algorithms For Multi Objective Optimization In Vlsi And Embedded Systems written by M.C. Bhuvaneswari and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-20 with Technology & Engineering categories.
This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design. Many complex engineering optimization problems can be modelled as multi-objective formulations. This book provides an introduction to multi-objective optimization using meta-heuristic algorithms, GA and PSO and how they can be applied to problems like hardware/software partitioning in embedded systems, circuit partitioning in VLSI, design of operational amplifiers in analog VLSI, design space exploration in high-level synthesis, delay fault testing in VLSI testing and scheduling in heterogeneous distributed systems. It is shown how, in each case, the various aspects of the EA, namely its representation and operators like crossover, mutation, etc, can be separately formulated to solve these problems. This book is intended for design engineers and researchers in the field of VLSI and embedded system design. The book introduces the multi-objective GA and PSO in a simple and easily understandable way that will appeal to introductory readers.
Computational Methods For Optimizing Manufacturing Technology Models And Techniques
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Author : Davim, J. Paulo
language : en
Publisher: IGI Global
Release Date : 2012-02-29
Computational Methods For Optimizing Manufacturing Technology Models And Techniques written by Davim, J. Paulo and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-29 with Technology & Engineering categories.
"This book contains the latest research developments in manufacturing technology and its optimization, and demonstrates the fundamentals of new computational approaches and the range of their potential application"--Provided by publisher.
Handbook Of Research On Investigations In Artificial Life Research And Development
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Author : Habib, Maki
language : en
Publisher: IGI Global
Release Date : 2018-06-08
Handbook Of Research On Investigations In Artificial Life Research And Development written by Habib, Maki and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-08 with Computers categories.
Research on artificial life is critical to solving various dynamic obstacles individuals face on a daily basis. From electric wheelchairs to navigation, artificial life can play a role in improving both the simple and complex aspects of civilian life. The Handbook of Research on Investigations in Artificial Life Research and Development is a vital scholarly reference source that examines emergent research in handling real-world problems through the application of various computation technologies and techniques. Examining topics such as computational intelligence, multi-agent systems, and fuzzy logic, this publication is a valuable resource for academicians, scientists, researchers, and individuals interested in artificial intelligence developments.
Evolutionary Multi Criterion Optimization
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Author : Hemant Singh
language : en
Publisher: Springer Nature
Release Date : 2025-02-27
Evolutionary Multi Criterion Optimization written by Hemant Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Computers categories.
This two-volume set LNCS 15512-15513 constitutes the proceedings of the 13th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2025, held in Canberra, ACT, Australia, in March 2025. The 38 full papers and 2 extended abstracts presented in this book were carefully reviewed and selected from 63 submissions. The papers are divided into the following topical sections: Part I : Algorithm design; Benchmarking; Applications. Part II : Algorithm analysis; Surrogates and machine learning; Multi-criteria decision support.
Evolutionary Multi Criterion Optimization
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Author : Hisao Ishibuchi
language : en
Publisher: Springer Nature
Release Date : 2021-03-24
Evolutionary Multi Criterion Optimization written by Hisao Ishibuchi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-24 with Computers categories.
This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021 held in Shenzhen, China, in March 2021. The 47 full papers and 14 short papers were carefully reviewed and selected from 120 submissions. The papers are divided into the following topical sections: theory; algorithms; dynamic multi-objective optimization; constrained multi-objective optimization; multi-modal optimization; many-objective optimization; performance evaluations and empirical studies; EMO and machine learning; surrogate modeling and expensive optimization; MCDM and interactive EMO; and applications.
Optimizing Decision Making In The Apparel Supply Chain Using Artificial Intelligence Ai
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Author : Calvin Wong
language : en
Publisher: Elsevier
Release Date : 2013-01-24
Optimizing Decision Making In The Apparel Supply Chain Using Artificial Intelligence Ai written by Calvin Wong and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-24 with Business & Economics categories.
Practitioners in apparel manufacturing and retailing enterprises in the fashion industry, ranging from senior to front line management, constantly face complex and critical decisions. There has been growing interest in the use of artificial intelligence (AI) techniques to enhance this process, and a number of AI techniques have already been successfully applied to apparel production and retailing. Optimizing decision making in the apparel supply chain using artificial intelligence (AI): From production to retail provides detailed coverage of these techniques, outlining how they are used to assist decision makers in tackling key supply chain problems. Key decision points in the apparel supply chain and the fundamentals of artificial intelligence techniques are the focus of the opening chapters, before the book proceeds to discuss the use of neural networks, genetic algorithms, fuzzy set theory and extreme learning machines for intelligent sales forecasting and intelligent product cross-selling systems. - Helps the reader gain an understanding of the key decision points in the apparel supply chain - Discusses the fundamentals of artificial intelligence techniques for apparel management techniques - Considers the use of neural networks in selecting the location of apparel manufacturing plants