Metaheuristics for resource deployment under uncertainty in complex systems, Ding, Shuxin

Автор: Ding, Shuxin Chen, Chen Zhang, Qi Xin, Bin Pardalos, Panos M. (uni Of Florida, Usa)
Название: Metaheuristics for resource deployment under uncertainty in complex systems
ISBN: 1032065206 ISBN-13(EAN): 9781032065205
Издательство: Taylor&Francis
Цена: 13014.00 р.
Наличие на складе: Есть у поставщикаПоставка под заказ.
Описание: Metaheuristics for Resource Deployment under Uncertainty in Complex Systems analyzes how to set locations for the deployment of resources to incur the best performance at the lowest cost. Resources can be static nodes and moving nodes while services for a specific area or for customers can be provided. Theories of modeling and solution techniques are used with uncertainty taken into account and real-world applications used.The authors present modeling and metaheuristics for solving resource deployment problems under uncertainty while the models deployed are related to stochastic programming, robust optimization, fuzzy programming, risk management, and single/multi-objective optimization. The resources are heterogeneous and can be sensors and actuators providing different tasks. Both separate and cooperative coverage of the resources are analyzed. Previous research has generally dealt with one type of resource and considers static and deterministic problems, so the book breaks new ground in its analysis of cooperative coverage with heterogeneous resources and the uncertain and dynamic properties of these resources using metaheuristics.This book will help researchers, professionals, academics, and graduate students in related areas to better understand the theory and application of resource deployment problems and theories of uncertainty, including problem formulations, assumptions, and solution methods.

Автор: Ding, Shuxin Chen, Chen Zhang, Qi Xin, Bin Pardalos, Panos M. (uni Of Florida, Usa)
Название: Metaheuristics for resource deployment under uncertainty in complex systems
ISBN: 1032065206 ISBN-13(EAN): 9781032065205
Издательство: Taylor&Francis
Рейтинг:
Цена: 13014.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Metaheuristics for Resource Deployment under Uncertainty in Complex Systems analyzes how to set locations for the deployment of resources to incur the best performance at the lowest cost. Resources can be static nodes and moving nodes while services for a specific area or for customers can be provided. Theories of modeling and solution techniques are used with uncertainty taken into account and real-world applications used.The authors present modeling and metaheuristics for solving resource deployment problems under uncertainty while the models deployed are related to stochastic programming, robust optimization, fuzzy programming, risk management, and single/multi-objective optimization. The resources are heterogeneous and can be sensors and actuators providing different tasks. Both separate and cooperative coverage of the resources are analyzed. Previous research has generally dealt with one type of resource and considers static and deterministic problems, so the book breaks new ground in its analysis of cooperative coverage with heterogeneous resources and the uncertain and dynamic properties of these resources using metaheuristics.This book will help researchers, professionals, academics, and graduate students in related areas to better understand the theory and application of resource deployment problems and theories of uncertainty, including problem formulations, assumptions, and solution methods.

Автор: Arora, Ritu
Название: Combinatorial Optimization Under Uncertainty
ISBN: 1032316586 ISBN-13(EAN): 9781032316581
Издательство: Taylor&Francis
Рейтинг:
Цена: 12554.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Автор: Karl F. Doerner; Michel Gendreau; Peter Greistorfe
Название: Metaheuristics
ISBN: 0387719199 ISBN-13(EAN): 9780387719191
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Provides several different kinds of information: a delineation of general metaheuristics methods, many advanced articles from a variety of classical application areas as well as an outlook to modern computational methods in promising areas. This book is suitable for students, and for people who are interested in engineering or social sciences.

Автор: Karl F. Doerner; Michel Gendreau; Peter Greistorfe
Название: Metaheuristics
ISBN: 1441944214 ISBN-13(EAN): 9781441944214
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book`s aim is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas.

Автор: Camps Echevarr?a
Название: Fault Diagnosis Inverse Problems: Solution with Metaheuristics
ISBN: 3319899775 ISBN-13(EAN): 9783319899770
Издательство: Springer
Рейтинг:
Цена: 11179.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents a methodology based on inverse problems for use in solutions for fault diagnosis in control systems, combining tools from mathematics, physics, computational and mathematical modeling, optimization and computational intelligence.

Автор: Celso C. Ribeiro; Pierre Hansen
Название: Essays and Surveys in Metaheuristics
ISBN: 1461355885 ISBN-13(EAN): 9781461355885
Издательство: Springer
Рейтинг:
Цена: 27950.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Tech- niques such as simulated annealing, tabu search, genetic algorithms, scatter search, greedy randomized adaptive search, variable neighborhood search, ant systems, and their hybrids are currently among the most efficient and robust optimization strategies to find high-quality solutions to many real-life optimiza- tion problems.

Автор: Maria J. Blesa; Christian Blum; Angelo Cangelosi;
Название: Hybrid Metaheuristics
ISBN: 3319396358 ISBN-13(EAN): 9783319396354
Издательство: Springer
Рейтинг:
Цена: 6988.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the 10th International Workshop on Hybrid Metaheuristics, HM 2016, held in Plymouth, UK, in June 2016. The 15 revised full papers presented were carefully reviewed and selected from 43 submissions.

Автор: Epps Amelia
Название: Current Approaches in Metaheuristics
ISBN: 1632381079 ISBN-13(EAN): 9781632381071
Издательство: Неизвестно
Цена: 14484.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Автор: Toshihide Ibaraki; Koji Nonobe; Mutsunori Yagiura
Название: Metaheuristics:
ISBN: 1441937900 ISBN-13(EAN): 9781441937902
Издательство: Springer
Рейтинг:
Цена: 21661.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Metaheuristics: Progress as Real Problem Solvers is a peer-reviewed volume of eighteen current, cutting-edge papers by leading researchers in the field.

Автор: Mauricio G.C. Resende; J. Pinho de Sousa
Название: Metaheuristics
ISBN: 1441954031 ISBN-13(EAN): 9781441954039
Издательство: Springer
Рейтинг:
Цена: 37594.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Combinatorial optimization is the process of finding the best, or optimal, so- lution for problems with a discrete set of feasible solutions. Applications arise in numerous settings involving operations management and logistics, such as routing, scheduling, packing, inventory and production management, lo- cation, logic, and assignment of resources. The economic impact of combi- natorial optimization is profound, affecting sectors as diverse as transporta- tion (airlines, trucking, rail, and shipping), forestry, manufacturing, logistics, aerospace, energy (electrical power, petroleum, and natural gas), telecommu- nications, biotechnology, financial services, and agriculture. While much progress has been made in finding exact (provably optimal) so- lutions to some combinatorial optimization problems, using techniques such as dynamic programming, cutting planes, and branch and cut methods, many hard combinatorial problems are still not solved exactly and require good heuristic methods. Moreover, reaching "optimal solutions" is in many cases meaningless, as in practice we are often dealing with models that are rough simplifications of reality. The aim of heuristic methods for combinatorial op- timization is to quickly produce good-quality solutions, without necessarily providing any guarantee of solution quality. Metaheuristics are high level procedures that coordinate simple heuristics, such as local search, to find solu- tions that are of better quality than those found by the simple heuristics alone: Modem metaheuristics include simulated annealing, genetic algorithms, tabu search, GRASP, scatter search, ant colony optimization, variable neighborhood search, and their hybrids.

Автор: Martin Josef Geiger; Walter Habenicht; Marc Sevaux
Название: Metaheuristics in the Service Industry
ISBN: 3642009387 ISBN-13(EAN): 9783642009389
Издательство: Springer
Рейтинг:
Цена: 14673.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Aims to combine a set of selected and peer-reviewed articles, presenting results of metaheuristics for modern services. This work considers applications in the area of transportation and logistics, and also other areas including production and financial services.

Автор: Mar?a Jos? Blesa Aguilera; Christian Blum; Andrea
Название: Hybrid Metaheuristics
ISBN: 3540285350 ISBN-13(EAN): 9783540285359
Издательство: Springer
Рейтинг:
Цена: 9083.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Constitutes the refereed proceedings of the Second International Workshop on Hybrid Metaheuristics, HM 2005, held in Barcelona, Spain, in August 2005. In this book, the papers addresses topics such as: low-level hybridization, high-level hybridization, portfolio techniques, expert systems, co-operative search, taxonomy, terminology, and more.