Автор: Davidor Yuval Название: Genetic Algorithms And Robotics: A Heuristic Strategy For Optimization ISBN: 9810202172 ISBN-13(EAN): 9789810202170 Издательство: World Scientific Publishing Рейтинг: Цена: 43290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Classical optimization methodologies fall short in very large and complex domains. In this book is suggested a different approach to optimization, an approach which is based on the 'blind' and heuristic mechanisms of evolution and population genetics. The genetic approach to optimization introduces a new philosophy to optimization in general, but particularly to engineering. By introducing the 'genetic' approach to robot trajectory generation, much can be learned about the adaptive mechanisms of evolution and how these mechanisms can solve real world problems. It is suggested further that optimization at large may benefit greatly from the adaptive optimization exhibited by natural systems when attempting to solve complex optimization problems, and that the determinism of classical optimization models may sometimes be an obstacle in nonlinear systems.This book is unique in that it reports in detail on an application of genetic algorithms to a real world problem, and explains the considerations taken during the development work. Futhermore, it addresses robotics in two new aspects: the optimization of the trajectory specification which has so far been done by human operators and has not received much attention for both automation and optimization, and the introduction of a heuristic strategy to a field predominated by deterministic strategies.Request Inspection Copy
Автор: Maschler Название: Game Theory ISBN: 1107005485 ISBN-13(EAN): 9781107005488 Издательство: Cambridge Academ Рейтинг: Цена: 69690.00 T Наличие на складе: Невозможна поставка. Описание: Covering both noncooperative and cooperative games, this comprehensive introduction to game theory also includes some advanced chapters on auctions, games with incomplete information, games with vector payoffs, stable matchings and the bargaining set. Mathematically oriented, the book presents every theorem alongside a proof. The material is presented clearly and every concept is illustrated with concrete examples from a broad range of disciplines. With numerous exercises the book is a thorough and extensive guide to game theory from undergraduate through graduate courses in economics, mathematics, computer science, engineering and life sciences to being an authoritative reference for researchers.
Автор: Fan, Mingtian, Название: Mathematical models and algorithms for power system optimization : ISBN: 0128132310 ISBN-13(EAN): 9780128132319 Издательство: Elsevier Science Рейтинг: Цена: 150470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world's largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations.
Provides insights on the development of new mathematical models of power system optimization
Analyzes power systems comprehensively to create novel mathematic models and algorithms for issues related to the planning operation of power systems
Includes research on the optimization of power systems and related practical research projects carried out since 1981
Автор: Kaushik Kumar and J. Paulo Davim Название: Optimization using evolutionary algorithms and metaheuristics ISBN: 0367260441 ISBN-13(EAN): 9780367260446 Издательство: Taylor&Francis Рейтинг: Цена: 168430.00 T Наличие на складе: Нет в наличии. Описание: This book covers developments and advances of algorithm based optimization techniques These techniques were only used for non-engineering problems. This book applies them to engineering problems.
Автор: Yang Xin She Название: Nature-Inspired Optimization Algorithms ISBN: 0128100605 ISBN-13(EAN): 9780128100608 Издательство: Elsevier Science Рейтинг: Цена: 83080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference.
Автор: Dan Gusfield Название: Integer Linear Programming in Computational and Systems Biology: An Entry-Level Text and Course ISBN: 1108421768 ISBN-13(EAN): 9781108421768 Издательство: Cambridge Academ Рейтинг: Цена: 60190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Integer linear programming is a versatile modeling and optimization technique with potential to transform biological computation. This hands-on text, designed for students, researchers, and professionals in both biology and computational fields, demonstrates applications in genomics, RNA and protein folding, DNA sequencing, phylogenetics, and more.
Автор: Lin Zhouchen, Li Huan, Fang Cong Название: Accelerated Optimization for Machine Learning: First-Order Algorithms ISBN: 9811529094 ISBN-13(EAN): 9789811529092 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The acceleration of first-order optimization algorithms is crucial for the efficiency of machine learning.Written by leading experts in the field, this book provides a comprehensive introduction to, and state-of-the-art review of accelerated first-order optimization algorithms for machine learning.
Автор: Aimo T?rn; Julius ?ilinskas Название: Models and Algorithms for Global Optimization ISBN: 1441942203 ISBN-13(EAN): 9781441942203 Издательство: Springer Рейтинг: Цена: 172350.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The research of Antanas Zilinskas has focused on developing models for global optimization, implementing and investigating the corresponding algorithms, and applying those algorithms to practical problems.
Автор: David P. Williamson Название: Network Flow Algorithms ISBN: 1316636836 ISBN-13(EAN): 9781316636831 Издательство: Cambridge Academ Рейтинг: Цена: 40130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This comprehensive text and reference for graduate students and professionals in theoretical computer science, operations research, and discrete math offers an up-to-date, unified view of efficient combinatorial algorithms for a wide variety of network flow problems, including recent work on computing electrical flows and their applications.
Автор: David P. Williamson Название: Network Flow Algorithms ISBN: 1107185890 ISBN-13(EAN): 9781107185890 Издательство: Cambridge Academ Рейтинг: Цена: 91870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This comprehensive text and reference for graduate students and professionals in theoretical computer science, operations research, and discrete math offers an up-to-date, unified view of efficient combinatorial algorithms for a wide variety of network flow problems, including recent work on computing electrical flows and their applications.
Автор: Yujun Zheng; Xueqin Lu; Minxia Zhang; Shengyong Ch Название: Biogeography-Based Optimization: Algorithms and Applications ISBN: 9811325855 ISBN-13(EAN): 9789811325854 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces readers to the background, general framework, main operators, and other basic characteristics of biogeography-based optimization (BBO), which is an emerging branch of bio-inspired computation. In particular, the book presents the authors’ recent work on improved variants of BBO, hybridization of BBO with other algorithms, and the application of BBO to a variety of domains including transportation, image processing, and neural network learning. The content will help to advance research into and application of not only BBO but also the whole field of bio-inspired computation. The algorithms and applications are organized in a step-by-step manner and clearly described with the help of pseudo-codes and flowcharts. The readers will learn not only the basic concepts of BBO but also how to apply and adapt the algorithms to the engineering optimization problems they actually encounter.
Автор: A. Migdalas; Panos M. Pardalos; Peter V?rbrand Название: Multilevel Optimization: Algorithms and Applications ISBN: 0792346939 ISBN-13(EAN): 9780792346937 Издательство: Springer Рейтинг: Цена: 250630.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
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