Handbook of Formal Optimization
Title | Handbook of Formal Optimization PDF eBook |
Author | Anand J. Kulkarni |
Publisher | Springer Nature |
Pages | 1406 |
Release | |
Genre | |
ISBN | 9819738202 |
Handbook of Formal Optimization
Title | Handbook of Formal Optimization PDF eBook |
Author | Anand J. Kulkarni |
Publisher | Springer |
Pages | 0 |
Release | 2024-07-17 |
Genre | Computers |
ISBN | 9789819738199 |
The formal optimization handbook is a comprehensive guide that covers a wide range of subjects. It includes a literature review, a mathematical formulation of optimization methods, flowcharts and pseudocodes, illustrations, problems and applications, results and critical discussions, and much more. The book covers a vast array of formal optimization fields, including mathematical and Bayesian optimization, neural networks and deep learning, genetic algorithms and their applications, hybrid optimization methods, combinatorial optimization, constraint handling in optimization methods, and swarm-based optimization. This handbook is an excellent reference for experts and non-specialists alike, as it provides stimulating material. The book also covers research trends, challenges, and prospective topics, making it a valuable resource for those looking to expand their knowledge in this field.
Handbook of Graph Theory, Combinatorial Optimization, and Algorithms
Title | Handbook of Graph Theory, Combinatorial Optimization, and Algorithms PDF eBook |
Author | Krishnaiyan "KT" Thulasiraman |
Publisher | CRC Press |
Pages | 1217 |
Release | 2016-01-05 |
Genre | Computers |
ISBN | 1420011073 |
The fusion between graph theory and combinatorial optimization has led to theoretically profound and practically useful algorithms, yet there is no book that currently covers both areas together. Handbook of Graph Theory, Combinatorial Optimization, and Algorithms is the first to present a unified, comprehensive treatment of both graph theory and c
Applied Multi-objective Optimization
Title | Applied Multi-objective Optimization PDF eBook |
Author | Nilanjan Dey |
Publisher | Springer Nature |
Pages | 181 |
Release | 2024 |
Genre | Electronic books |
ISBN | 9819703530 |
The book explains basic ideas behind several kinds of applied multi-objective optimization and shows how it will be applied in practical contexts in the domain of healthcare, engineering design, and manufacturing. The book discusses how meta-heuristic algorithms are successful in resolving challenging, multi-objective optimization issues in various disciplines, including engineering, economics, medical and environmental management. The topic is useful for graduates, researchers and lecturers in optimization, engineering, management science and computer science.
Handbook of Optimization
Title | Handbook of Optimization PDF eBook |
Author | Ivan Zelinka |
Publisher | Springer Science & Business Media |
Pages | 1088 |
Release | 2012-09-26 |
Genre | Technology & Engineering |
ISBN | 3642305040 |
Optimization problems were and still are the focus of mathematics from antiquity to the present. Since the beginning of our civilization, the human race has had to confront numerous technological challenges, such as finding the optimal solution of various problems including control technologies, power sources construction, applications in economy, mechanical engineering and energy distribution amongst others. These examples encompass both ancient as well as modern technologies like the first electrical energy distribution network in USA etc. Some of the key principles formulated in the middle ages were done by Johannes Kepler (Problem of the wine barrels), Johan Bernoulli (brachystochrone problem), Leonhard Euler (Calculus of Variations), Lagrange (Principle multipliers), that were formulated primarily in the ancient world and are of a geometric nature. In the beginning of the modern era, works of L.V. Kantorovich and G.B. Dantzig (so-called linear programming) can be considered amongst others. This book discusses a wide spectrum of optimization methods from classical to modern, alike heuristics. Novel as well as classical techniques is also discussed in this book, including its mutual intersection. Together with many interesting chapters, a reader will also encounter various methods used for proposed optimization approaches, such as game theory and evolutionary algorithms or modelling of evolutionary algorithm dynamics like complex networks.
A Gentle Introduction to Optimization
Title | A Gentle Introduction to Optimization PDF eBook |
Author | B. Guenin |
Publisher | Cambridge University Press |
Pages | 283 |
Release | 2014-07-31 |
Genre | Mathematics |
ISBN | 1139992996 |
Optimization is an essential technique for solving problems in areas as diverse as accounting, computer science and engineering. Assuming only basic linear algebra and with a clear focus on the fundamental concepts, this textbook is the perfect starting point for first- and second-year undergraduate students from a wide range of backgrounds and with varying levels of ability. Modern, real-world examples motivate the theory throughout. The authors keep the text as concise and focused as possible, with more advanced material treated separately or in starred exercises. Chapters are self-contained so that instructors and students can adapt the material to suit their own needs and a wide selection of over 140 exercises gives readers the opportunity to try out the skills they gain in each section. Solutions are available for instructors. The book also provides suggestions for further reading to help students take the next step to more advanced material.
Ant Colony Optimization
Title | Ant Colony Optimization PDF eBook |
Author | Marco Dorigo |
Publisher | MIT Press |
Pages | 324 |
Release | 2004-06-04 |
Genre | Computers |
ISBN | 9780262042192 |
An overview of the rapidly growing field of ant colony optimization that describes theoretical findings, the major algorithms, and current applications. The complex social behaviors of ants have been much studied by science, and computer scientists are now finding that these behavior patterns can provide models for solving difficult combinatorial optimization problems. The attempt to develop algorithms inspired by one aspect of ant behavior, the ability to find what computer scientists would call shortest paths, has become the field of ant colony optimization (ACO), the most successful and widely recognized algorithmic technique based on ant behavior. This book presents an overview of this rapidly growing field, from its theoretical inception to practical applications, including descriptions of many available ACO algorithms and their uses. The book first describes the translation of observed ant behavior into working optimization algorithms. The ant colony metaheuristic is then introduced and viewed in the general context of combinatorial optimization. This is followed by a detailed description and guide to all major ACO algorithms and a report on current theoretical findings. The book surveys ACO applications now in use, including routing, assignment, scheduling, subset, machine learning, and bioinformatics problems. AntNet, an ACO algorithm designed for the network routing problem, is described in detail. The authors conclude by summarizing the progress in the field and outlining future research directions. Each chapter ends with bibliographic material, bullet points setting out important ideas covered in the chapter, and exercises. Ant Colony Optimization will be of interest to academic and industry researchers, graduate students, and practitioners who wish to learn how to implement ACO algorithms.