Modeling, Simulation, and Optimization, Pandian Vasant; Igor Litvinchev; Jos? Antonio Marm
Автор: Miguel Mujica Mota; Idalia Flores De La Mota; Dani Название: Applied Simulation and Optimization ISBN: 3319357077 ISBN-13(EAN): 9783319357072 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Simulation-based Optimization with HeuristicLab: Practical Guidelines and Real World Applications.- Simulation Optimization Approach to solve a complex multiobjective redundancy allocation problem.- OR AND SIMULATION IN COMBINATION FOR OPTIMIZATION.- Tree Search and Simulation.- Integrated solutions for delivery planning and scheduling in distribution centres.- Large Neighbourhood Search and Simulation for Disruption Management in the Airline Industry.- Allocation of Airport check-in counters using a Simulation-Optimization Approach.- Simulation and Optimization of the Pre-hospital Care System of the National University of Mexico.- Simulation Based Optimization Using Greedy Techniques and Simulated Annealing for Optimal Equipment Selection within Print Production Environments.- Linear Bus Holding Model for Real Time Traffic Network Control.
Описание: The papers are organized in topical sections on variability & statistical timing, circuit level techniques, power management, low power circuits & technology, system level techniques, power & timing optimization techniques, self-timed circuits, low power circuit analysis & optimization, and low power design studies.
Автор: Gosavi, Abhijit Название: Simulation-Based Optimization ISBN: 1489974903 ISBN-13(EAN): 9781489974907 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Background.- Simulation basics.- Simulation optimization: an overview.- Response surfaces and neural nets.- Parametric optimization.- Dynamic programming.- Reinforcement learning.- Stochastic search for controls.- Convergence: background material.- Convergence: parametric optimization.- Convergence: control optimization.- Case studies.
Автор: Miguel Mujica Mota; Idalia Flores De La Mota Название: Applied Simulation and Optimization 2 ISBN: 3319558099 ISBN-13(EAN): 9783319558097 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Building on the author`s earlier Applied Simulation and Optimization, this book presents novel methods for solving problems in industry, based on hybrid simulation-optimization approaches that combine the advantages of both paradigms.
Автор: Slawomir Koziel; Stanislav Ogurtsov Название: Antenna Design by Simulation-Driven Optimization ISBN: 3319043668 ISBN-13(EAN): 9783319043661 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Brief reviews a number of techniques exploiting the surrogate-based optimization concept and variable-fidelity EM simulations for efficient optimization of antenna structures.
Автор: Michael C Fu Название: Handbook of Simulation Optimization ISBN: 1493913832 ISBN-13(EAN): 9781493913831 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Handbook of Simulation Optimization
Автор: Abhijit Gosavi Название: Simulation-Based Optimization ISBN: 1489977317 ISBN-13(EAN): 9781489977311 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduce the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization techniques - especially designed for those discrete-event, stochastic systems which can be simulated but whose analytical models are difficult to find in closed mathematical forms.
Key features of this revised and improved Second Edition include:
- Extensive coverage, via step-by-step recipes, of powerful new algorithms for static simulation optimization, including simultaneous perturbation, backtracking adaptive search and nested partitions, in addition to traditional methods, such as response surfaces, Nelder-Mead search and meta-heuristics (simulated annealing, tabu search, and genetic algorithms)
- Detailed coverage of the Bellman equation framework for Markov Decision Processes (MDPs), along with dynamic programming (value and policy iteration) for discounted, average, and total reward performance metrics
- An in-depth consideration of dynamic simulation optimization via temporal differences and Reinforcement Learning: Q-Learning, SARSA, and R-SMART algorithms, and policy search, via API, Q-P-Learning, actor-critics, and learning automata
- A special examination of neural-network-based function approximation for Reinforcement Learning, semi-Markov decision processes (SMDPs), finite-horizon problems, two time scales, case studies for industrial tasks, computer codes (placed online) and convergence proofs, via Banach fixed point theory and Ordinary Differential Equations
Themed around three areas in separate sets of chapters - Static Simulation Optimization, Reinforcement Learning and Convergence Analysis- this book is written for researchers and students in the fields of engineering (industrial, systems, electrical and computer), operations research, computer science and applied mathematics.
Автор: Zhou Su; Qichao Xu; Kuan Zhang; Xuemin (Sherman) S Название: Modeling and Optimization for Mobile Social Networks ISBN: 3319479210 ISBN-13(EAN): 9783319479217 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book investigates the modeling and optimization issues in mobile social networks (MSNs). Firstly, the architecture and applications of MSNs are examined. The existing works on MSNs are reviewed by specifying the critical challenges and research issues. Then, with the introduction of MSN-based social graph and information dissemination mechanisms, the analytical model for epidemic information dissemination with opportunistic Links in MSNs is discussed. In addition, optimal resource allocation is studied based on a heterogeneous architecture, which provides mobile social services with high capacity and low latency. Finally, this book summarize some open problems and future research directions in MSNs.
Written for researchers and academics, this book is useful for anyone working on mobile networks, network architecture, or content delivery. It is also valuable for advanced-level students of computer science.
Описание: It addresses a wide range ofadditional constraints importantin contemporary networks, including various types of network flows,survivability issues, multi-layer networking, and resource location.Thebook presents recent existing and new results in a comprehensive and cohesiveway.
Автор: William E. Hart; Carl Laird; Jean-Paul Watson; Dav Название: Pyomo – Optimization Modeling in Python ISBN: 1489993258 ISBN-13(EAN): 9781489993250 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a comprehensive guide to Pyomo, an open source software package for formulating and solving large-scale optimization and operations research problems. Includes chapters on advanced modeling capabilities for nonlinear and stochastic optimization.
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