De Gruyter, 2025. — 644 p. The book presents powerful optimization approaches for integrating Artificial Intelligence (AI) into daily life. This book explores how heuristic and metaheuristic methodologies have revolutionized the fields of robotics and Machine Learning (ML). The book covers the wide range of tools and methods that have emerged as part of the AI revolution, from...
CRC Press, 2025. — 327 p. — ISBN 978-1-032-71375-5. Biomedical engineering is a rapidly growing interdisciplinary area that is providing solutions to biological and medical problems and improving the healthcare system. It is connected to various applications like protein structure prediction, computer-aided drug design, and computerized medical diagnosis based on image and...
Xingyi Zhang, Ran Cheng, Ye Tian, Yaochu Jin. — Wiley-IEEE Press, 2024. — 352 p. — ISBN 978-1394178438. Tackle the most challenging problems in science and engineering with these cutting-edge algorithms Multi-objective optimization problems (MOPs) are those in which more than one objective needs to be optimized simultaneously. As a ubiquitous component of research and...
Springer, 2024. — 193 p. — (Mathematics Study Resources, 5). — ISBN 978-3-662-66240-3. This textbook is an introduction to global optimization, which treats mathematical facts stringently on the one hand, but also motivates them in great detail and illustrates them with 80 figures. The book is therefore not only aimed at mathematicians, but also at natural scientists, engineers...
Erik Cuevas, Jorge Galvez, Omar Avalos, Fernando Wario. — Wiley-IEEE Press, 2024. — 432 p. — ISBN: 978-1394229642/ Learn to bridge the gap between machine learning and metaheuristic methods to solve problems in optimization approaches Few areas of technology have greater potential to revolutionize the globe than artificial intelligence. Two key areas of artificial intelligence,...
CRC Press, 2025. — 189 p. — (Серия: Engineering Mathematics and Operations Research). — ISBN 978-1-032-52592-1. Методы оптимизации и связанные с ними приложения Currently, the techniques of operation research are widely used in every aspect of day-to-day life. This book discusses a variety of problems that arise in various businesses and develops mathematical theories as well...
John Wiley & Sons, Inc., 2024. — 528 p. — ISBN-13: 978-1394235964. Detailed review of optimization from first principles, supported by rigorous math and computer science explanations and various learning aids Supported by rigorous math and computer science foundations, Combinatorial and Algorithmic Mathematics: From Foundation to Optimization provides a from-scratch...
Springer, 2024. — 369 p. — ISBN 978-981-97-3285-2. This textbook comprehensively explores the foundational principles, algorithms, and applications of intelligent optimization, making it an ideal resource for both undergraduate and postgraduate artificial intelligence courses. It remains equally valuable for active researchers and individuals engaged in self-study. Serving as a...
IGI Global, Engineering Science Reference, 2024. — 308 p. — ISBN 9798369321614. In the relentless battle against escalating cyber threats, data security faces a critical challenge – the need for innovative solutions to fortify encryption and decryption processes. The increasing frequency and complexity of cyber-attacks demand a dynamic approach, and this is where the...
Springer Cham, 2024. — 506 p. — (International Series in Operations Research & Management Science, volume 358). — eBook ISBN 978-3-031-57603-4. Emphasizes applications in various operations research areas Provides a comprehensive overview of Bernard Gendron’s scientific contributions Offers a state-of-the-art view of combinatorial optimization Combinatorial Optimization...
Springer Cham, 2024. — 192 p. — (Computational Intelligence Methods and Applications). — eBook ISBN 978-3-031-60103-3. Introduces CMSA: Construct, Merge, Solve & Adapt as combinatorial optimization algorithm Explains an algorithm combining probabilistic solution construction with an ILP solver Discusses applications to optimization problems such as the minimum dominating set...
Springer Cham, 2024. — 534 p. — (International Series in Operations Research & Management Science, volume 356). — ISBN 978-3-031-55927-3. Provides the first comprehensive introduction on Facility Location under Uncertainty Discusses facility location models under modern developing trends Discloses the future research directions This textbook provides researchers, post-graduate...
Morgan Kaufmann/Elsevier, 2024. — 628 p. — ISBN-13 978-0443139253. Метаэвристические алгоритмы оптимизации: оптимизаторы, анализ и приложения Metaheuristic Optimization Algorithms: Optimizers, Analysis, and Applications presents the most recent optimization algorithms and their applications across a wide range of scientific and engineering research fields. Metaheuristic...
Springer, 2024. — 518 p. — (Springer Optimization and Its Applications 774). — ISBN 978-3-031-52462-2. This book provides a foundation in stochastic, linear, and mixed-integer programming algorithms with a focus on practical computer algorithm implementation. The purpose of this book is to provide a foundational and thorough treatment of the subject with a focus on models and...
Springer, 2023. — XXVI, 352 p.: ill. — (Mathematical Engineering). — ISBN 978-3-031-34631-6, ISBN 978-3-031-34632-3. This book serves as a complementary resource to the courses "Advanced structural optimization" and "Structural optimization in automotive engineering" taught by the author at the University of Siegen, North-Rhine-Westphalia, Germany since 2001. Focusing on...
Manning Publications, 2023. — 426 р. — ISBN: 978-1633439078. Bayesian optimization helps pinpoint the best configuration for your machine learning models with speed and accuracy. Put its advanced techniques into practice with this hands-on guide. In Bayesian Optimization in Action you will learn how to: Train Gaussian processes on both sparse and large data sets Combine...
Springer, 2023. — 443 p. — (International Series in Operations Research & Management Science 344). – ISBN 978-3-031-30323-4. It is quite superfluous to stress that mathematical optimization is a cornerstone of not only several scientific subjects, such as Economic Analysis, Operations Research, Management Sciences, Engineering, Chemistry, Physics, Statistics, Computer Science,...
Springer, 2023. — 306 p. — (Studies in Systems, Decision and Control 480). — ISBN 978-3-031-34727-6. Гибридная метаэвристика в проектировании конструкций: включая приложения машинного обучения From the start of life, people used their brains to make something better in design in ordinary works. Due to that, metaheuristics are essential to living things, and several inspirations...
De Gruyter, 2020. — 365 p. — ISBN: 978-3-11-066369-3. The book focused on solving equations and optimization problems with MatLAB. The topics on unconstrained optimization, linear and quadratic programming, nonlinear constrained optimization problems, mixed integer programming, multi-objective programming, dynamic programming and intelligent optimization methods are covered....
Springer, 2023. — 274 p. — ISBN-13: 978-981-99-1521-7. This edited book provides a platform to discuss the state-of-the-art developments associated with traditional and advanced single-/multi-objective criteria optimization methods for addressing problems of performance enhancement of the products and systems design. The book in detail discusses the core ideas, underlying...
Springer, 2023. — 220 p. — (Machine Learning: Foundations, Methodologies, and Applications). — ISBN 978-981-19-5649-2. Эволюционная многозадачная оптимизация: основы и методологии A remarkable facet of the human brain is its ability to manage multiple tasks with apparent simultaneity. Knowledge learned from one task can then be used to enhance problem-solving in other related...
Apress Media LLC, 2023. — 249 p. — ISBN-13: 978-1-4842-9063-7. This book covers the essential theory and implementation of popular Bayesian optimization techniques in an intuitive and well-illustrated manner. The techniques covered in this book will enable you to better tune the hyperparemeters of your machine learning models and learn sample-efficient approaches to global...
Springer, 2023. — 282 p. — (Wireless Networks). — ISBN 978-981-19-8558-4. Распределенная оптимизация в сетевых системах: алгоритмы и приложения This book focuses on improving the performance (convergence rate, communication efficiency, computational efficiency, etc.) of algorithms in the context of distributed optimization in networked systems and their successful application...
Springer, 2023. — 237 p. — ISBN 978-3-030-96024-7. Modern Optimization Techniques for Smart Grids presents current research and methods for monitoring transmission systems and enhancing distribution system performance using optimization techniques considering the role of different single and multi-objective functions. The authors present in-depth information on integrated...
Springer, 2022. — 141 p. — ISBN 3030969169. This book explains what is required to make a more robust statistical comparison of the performance achieved by meta-heuristics. It does not explain how to develop a new single- or multi-objective meta-heuristic, or how to run it on a specific or a set of problem instances and collect the experimental data. It deals in which...
Academic Press, 2022. — 314 p. — ISBN 9780128238004. Multi-Objective Combinatorial Optimization Problems and Solution Methods discusses the results of a recent multi-objective combinatorial optimization achievement that considered metaheuristic, mathematical programming, heuristic, hyper heuristic and hybrid approaches. In other words, the book presents various multi-objective...
Mercury Learning and Information, 2018. — 369 p. — ISBN 978-1-68392-347-3. Designed for engineers, mathematicians, computer scientists, financial analysts, and anyone interested in using numerical linear algebra, matrix theory, and game theory concepts to maximize efficiency in solving applied problems. The book emphasizes the solution of various types of linear programming...
Springer, 2021. — 392 p. — (Forum for Interdisciplinary Mathematics). — ISBN 978-981-16-4896-0. This book collects chapters on contemporary topics on metric fixed point theory and its applications in science, engineering, fractals, and behavioral sciences. Chapters contributed by renowned researchers from across the world, this book includes several useful tools and techniques...
5th Edition. — Springer, 2021. – 609 p. — (International Series in Operations Research & Management Science 228). — ISBN 978-3-030-85449-2. The 5th edition of this classic textbook covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. One major insight is the connection between the purely...
Cambridge University Press, 2021. — 200 p. — ISBN 978-1-108-74177-4. In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient...
Springer, 2021. — 510 p. — ISBN 978-3-030-77875-0. This book constitutes the proceedings of the 20th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2021, held in Irkutsk, Russia, in July 2021. The 29 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 102 submissions. Additionally, 2 full...
Boston: The MIT Press, 2019. — 521 p. A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that...
Elsevier, 2021. — 180 p. — ISBN 978-0-323-90941-9. New Optimization Algorithms and Applications: Atom-Based, Ecosystem-Based and Economics-Based presents the development of three new optimization algorithms - an Atom Search Optimization (ASO) algorithm, an Artificial Ecosystem-Based Optimization algorithm (AEO), a Supply Demand Based Optimization (SDO), and their applications...
2nd edition. — Springer, 2021. — 653 p. — ISBN 978-3-030-73236-3. This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The...
Springer, 2021. — 408 p. — ISBN 978-3-030-74639-1. Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning, and metaheuristics. Written by world-leading academic researchers who are extremely experienced in industrial applications, this self-contained book is the first of its kind that provides...
Springer, 2021. — 393 p. — ISBN 3030665143. This edited volume illustrates the connections between machine learning techniques, black box optimization, and no-free lunch theorems. Each of the thirteen contributions focuses on the commonality and interdisciplinary concepts as well as the fundamentals needed to fully comprehend the impact of individual applications and problems....
Cho Y., Jleli M., Mursaleen M., Samet B., Vetro C. - Springer, 2021. — 512 p. — ISBN 978-981-33-6646-6. This book collects papers on major topics in fixed point theory and its applications. Each chapter is accompanied by basic notions, mathematical preliminaries and proofs of the main results. The book discusses common fixed point theory, convergence theorems, split variational...
Springer, 2021. — 222 p. — (EURO Advanced Tutorials on Operational Research). — ISBN 978-3-030-70276-2. This book is the first comprehensive tutorial on matheuristics. Matheuristics are based on mathematical extensions of previously known heuristics, mainly metaheuristics, and on original, area-specific approaches. This tutorial provides a detailed discussion of both...
Springer, 2021. — 552 p. — (Springer Optimization and Its Applications. 152). — ISBN 978-3-030-68711-3. This self-contained monograph presents the reader with an authoritative view of Continuous Optimization, an area of mathematical optimization that has experienced major developments during the past 40 years. The book contains results which have not yet been covered in a...
Kulkarni A., Mezura-Montes E., Wang Y., Gandomi A., Krishnasamy G. - Springer, 2021. — 336 p. — ISBN 978-981-33-6709-8. This book aims to discuss the core and underlying principles and analysis of the different constraint handling approaches. The main emphasis of the book is on providing an enriched literature on mathematical modelling of the test as well as real-world problems...
Springer, 2021. — 420 p. — (Springer Tracts in Nature-Inspired Computing). — ISBN 978-981-33-6772-2. This book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications. The chapters of the book provide concise overviews of...
Springer, 2021. — 484 p. — (Springer Optimization and Its Applications, 167). — ISBN 978-3030617318. This contributed volume discusses aspects of nonlinear analysis in which optimization plays an important role, as well as topics which are applied to the study of optimization problems. Topics include set-valued analysis, mixed concave-convex sub-superlinear Schroedinger...
Editors: Deepak Gupta, Nhu Gia Nguyen, Ashish Khanna, Siddhartha Bhattacharyya. — Walter de Gruyter GmbH, 2021. — 170 p. — (Intelligent Biomedical Data Analysis, 4). — ISBN 978-3-11-067606-8, 978-3-11-067611-2, 978-3-11-067615-0. This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms...
2nd ed. — Wiley, 2020. — 360 p. — ISBN 9781119606536. A practical guide to optimization problems with discrete or integer variables, revised and updated The revised second edition of Integer Programming explains in clear and simple terms how to construct custom-made algorithms or use existing commercial software to obtain optimal or near-optimal solutions for a variety of...
Elsevier Inc., 2020. — 322 p. — ISBN: 978-0-12-821126-7. Optimization is a key concept in mathematics, computer science, and operations research, and is essential to the modeling of any system, playing an integral role in computer-aided design. Fundamentals of Optimization Techniques with Algorithms presents a complete package of various traditional and advanced optimization...
Springer, 2021. — 324 p. This book highlights the basic concepts of the CS algorithm and its variants, and their use in solving diverse optimization problems in medical and engineering applications. Evolutionary-based meta-heuristic approaches are increasingly being applied to solve complicated optimization problems in several real-world applications. One of the most successful...
Springer, 2021. — 290 p. — (International Series in Operations Research & Management Science 298). — ISBN: 978-3-030-57249-5. This book provides basic tools for learning how to model in mathematical programming, from models without much complexity to complex system models. It presents a unique methodology for the building of an integral mathematical model, as well as new...
Springer, 2020. — 399 p. — ISBN: 978-3-030-27045-2 (eBook). This book focuses on mathematical modeling, describes the process of constructing and evaluating models, discusses the challenges and delicacies of the modeling process, and explicitly outlines the required rules and regulations so that the reader will be able to generalize and reuse concepts in other problems by...
2nd Edition. — Springer, 2018. — 603 p. — (Springer Optimization and Its Applications 137). — ISBN: 978-3-319-91577-7. This book provides a comprehensive, modern introduction to convex optimization, a field that is becoming increasingly important in applied mathematics, economics and finance, engineering, and computer science, notably in data science and machine learning....
Springer-Verlag, Berlin, Heidelberg, 2015. — 333 p. — (Springer Proceedings in Mathematics & Statistics 151) — ISBN: 3662486687. This volume presents five surveys with extensive bibliographies and six original contributions on set optimization and its applications in mathematical finance and game theory. The topics range from more conventional approaches that look for...
Springer, 2018. — 246 p. — ISBN: 9811314705. This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. The focus is on solving real-world optimization problems using strategies ranging from evolutionary to hybrid frameworks, and involving various computation platforms. The topics...
6th ed. — Springer, 2018. — 701 p. — ISBN: 3662560380. This comprehensive textbook on combinatorial optimization places special emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics. It is based on numerous courses on combinatorial optimization and specialized topics, mostly at graduate level. This book reviews the...
Springer Nature Singapore Pte Ltd. 2017. — 298 p. — (Infosys Science Foundation Series) — ISBN: 9811062552. This book presents a smooth and unified transitional framework from generalised fractional programming, with a finite number of variables and a finite number of constraints, to semi-infinite fractional programming, where a number of variables are finite but with infinite...
Springer, 2018. — 257 p. – ISBN: 9811046867. This book presents the topology optimization theory for laminar flows with low and moderate Reynolds numbers, based on the density method and level-set method, respectively. The density-method-based theory offers efficient convergence, while the level-set-method-based theory can provide anaccurate mathematical expression of the...
Springer International Publishing AG, 2017. — 378 p. — (Advances in Mechanics and Mathematics 03) — ISBN: 3319580167. This book on canonical duality theory provides a comprehensive review of its philosophical origin, physics foundation, and mathematical statements in both finite- and infinite-dimensional spaces. A ground-breaking methodological theory, canonical duality theory...
Springer International Publishing, Switzerland, 2017. — 141 p. — (Springer Undergraduate Texts in Mathematics and Technology) — ISBN: 331960791X. This textbook, the first of its kind, presents the fundamentals of distance geometry: theory, useful methodologies for obtaining solutions, and real world applications. Concise proofs are given and step-by-step algorithms for solving...
Cambridge University Press, 1 edition, October 31, 2014. - 650 pages. - ISBN10: 1107050871. - ISBN13: 978-1107050877. Emphasizing practical understanding over the technicalities of specific algorithms, this elegant textbook is an accessible introduction to the field of optimization, focusing on powerful and reliable convex optimization techniques. Students and practitioners...
Учебное пособие. — 5 изд., стереотип. — М.: Физматлит, 2004. — 264 с. Рассматривается широкий круг вопросов, связанных с математическим программированием. Изложены теоретические основы задач линейного, выпуклого и нелинейного программирования и построения численных методов для их решения. Для студентов высших учебных заведений.
М.: Финансы и статистика, Инфра-М, 2008. — 272 с. Освещается одно из важнейших направлений математики - теория оптимизации. Рассмотрены теоретические, вычислительные и прикладные аспекты методов конечномерной оптимизации. Описаны алгоритмы численного решения задач безусловной минимизации функций одного и нескольких переменных, изложены методы условной оптимизации. Описаны...
Издательство Elsevier, 2014, -265 pp. Nature-inspired optimization algorithms have become increasingly popular in recent years, and most of these metaheuristic algorithms, such as particle swarm optimization and firefly algorithms, are often based on swarm intelligence. Swarmintelligence- based algorithms such as cuckoo search and firefly algorithms have been found to be very...
Wiley, 2013. – 640 p. – 4th ed. – ISBN: 1118279018, 9781118279014 Praise for the Third Edition "...guides and leads the reader through the learning path...[e]xamples are stated very clearly and the results are presented with attention to detail." —MAA Reviews Fully updated to reflect new developments in the field, the Fourth Edition of Introduction to Optimization fills the...
Комментарии
Помогите люди добрые :(