Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems: A Metaheuristic Approach, Blondin Maude Josйe
Автор: by Ali Kaveh; Armin Dadras Eslamlou Название: Metaheuristic Optimization Algorithms in Civil Engineering ISBN: 303045472X ISBN-13(EAN): 9783030454722 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction.- Optimum stacking sequence design of composite laminates for maximum buckling load capacity.- Optimum Design of Castellated Beams with Composite Action and Semi-Rigid Connection.- Optimal Design of Steel Curved Roof Frames by Enhanced Vibrating Particles System Algorithm.- Geometry and sizing optimization of steel pitched roof frames.- Two-Stage Optimal Sensor Placement Using Graph-Theory and Evolutionary Algorithms.- The charged system search algorithm for adaptive node moving refinement in discrete least-squares meshless method.- Performance-based multi-objective optimization of large steel structures.- Optimal Seismic Design of Steel Plate Shear Walls Using CBO and ECBO Algorithms.- Colliding Bodies Optimization Algorithm for Structural Optimization of Offshore Wind Turbines with Frequency Constraints.- Colliding Bodies Optimization for Analysis and Design of Water Distribution Systems.- Optimization of tower crane location and material quantity between supply and demand points.- Optimization of Building Components with SustainabilityAspects in BIM Environment.- Multi-objective optimization of construction site layout.- Multi-objective electrical energy scheduling in smart homes using ant lion optimizer and evidential reasoning
Описание: This textbook presents a general multi-objective optimization framework for optimizing chemical processes by implementing a link between process simulators and metaheuristic techniques.
Описание: Major nature-inspired algorithms discussed in this book include the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm, whale optimization algorithm, firefly algorithm, bat algorithm, ant lion optimization algorithm, grasshopper optimization algorithm, butterfly optimization algorithm and others.
Автор: Jhuma Ray, Anirban Mukherjee, Sadhan Kumar Dey, Goran Klepac Название: Metaheuristic Approaches to Portfolio Optimization ISBN: 1522581030 ISBN-13(EAN): 9781522581031 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 27581.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Control of an impartial balance between risks and returns has become important for investors, and having a combination of financial instruments within a portfolio is an advantage. Portfolio management has thus become very important for reaching a resolution in high-risk investment opportunities and addressing the risk-reward tradeoff by maximizing returns and minimizing risks within a given investment period for a variety of assets.
Metaheuristic Approaches to Portfolio Optimization is an essential reference source that examines the proper selection of financial instruments in a financial portfolio management scenario in terms of metaheuristic approaches. It also explores common measures used for the evaluation of risks/returns of portfolios in real-life situations. Featuring research on topics such as closed-end funds, asset allocation, and risk-return paradigm, this book is ideally designed for investors, financial professionals, money managers, accountants, students, professionals, and researchers.
Описание: The book presents recently developed efficient metaheuristic optimization algorithms and their applications for solving various optimization problems in civil engineering. The concepts can also be used for optimizing problems in mechanical and electrical engineering.
Автор: Ray Jhuma, Mukherjee Anirban, Dey Sadhan Kumar Название: Metaheuristic Approaches to Portfolio Optimization ISBN: 1522592946 ISBN-13(EAN): 9781522592945 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 19437.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Examines the proper selection of financial instruments in a financial portfolio management scenario in terms of metaheuristic approaches. The book explores measures used for the evaluation of risks/returns of portfolios in real-life situations, and features research on topics such as closed-end funds, asset allocation, and the risk-return paradigm.
Автор: Cesar Rego; Bahram Alidaee Название: Metaheuristic Optimization via Memory and Evolution ISBN: 144195483X ISBN-13(EAN): 9781441954831 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Tabu Search (TS) and, more recently, Scatter Search (SS) have proved highly effective in solving a wide range of optimization problems, and have had a variety of applications in industry, science, and government.
Описание: Introduction.- Optimum stacking sequence design of composite laminates for maximum buckling load capacity.- Optimum Design of Castellated Beams with Composite Action and Semi-Rigid Connection.- Optimal Design of Steel Curved Roof Frames by Enhanced Vibrating Particles System Algorithm.- Geometry and sizing optimization of steel pitched roof frames.- Two-Stage Optimal Sensor Placement Using Graph-Theory and Evolutionary Algorithms.- The charged system search algorithm for adaptive node moving refinement in discrete least-squares meshless method.- Performance-based multi-objective optimization of large steel structures.- Optimal Seismic Design of Steel Plate Shear Walls Using CBO and ECBO Algorithms.- Colliding Bodies Optimization Algorithm for Structural Optimization of Offshore Wind Turbines with Frequency Constraints.- Colliding Bodies Optimization for Analysis and Design of Water Distribution Systems.- Optimization of tower crane location and material quantity between supply and demand points.- Optimization of Building Components with SustainabilityAspects in BIM Environment.- Multi-objective optimization of construction site layout.- Multi-objective electrical energy scheduling in smart homes using ant lion optimizer and evidential reasoning
Описание: Modeling, Analysis, and Applications in Metaheuristic Computing: Advancements and Trends is a collection of the latest developments, models, and applications within the transdisciplinary fields related to metaheuristic computing. Providing researchers, practitioners, and academicians with insight into a wide range of topics such as genetic algorithms, differential evolution, and ant colony optimization, this book compile the latest findings, analysis, improvements, and applications of technologies within metaheuristic computing.
Автор: Jos? Mar?a Ponce-Ortega; Luis Germ?n Hern?ndez-P?r Название: Optimization of Process Flowsheets through Metaheuristic Techniques ISBN: 3030062848 ISBN-13(EAN): 9783030062842 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook presents a general multi-objective optimization framework for optimizing chemical processes by implementing a link between process simulators and metaheuristic techniques. The proposed approach is general and shows how to implement links between different process simulators such as Aspen Plus®, HYSIS®, Super Pro Designer® linked to a variety of metaheuristic techniques implemented in Matlab®, Excel®, C++, and others, eliminating the numerical complications through the optimization process. Furthermore, the proposed framework allows the use of thermodynamic, design and constitutive equations implemented in the process simulator to implement any process. Aimed at graduate and undergraduate students, it presents introductory chapters for process simulators and metaheuristic optimization techniques and provides several worked exercises as well as proposed exercises. In addition, accompanying tutorial videos clearly explaining the implemented methodologies are available online. Also, some Matlab® routines are included as electronic supporting material.
Автор: Hadj Ahmed Bouarara , Reda Mohamed Hamou , Amine Rahmani (Editors) Название: Advanced metaheuristic methods in big data retrieval and analytics / ISBN: 1522573380 ISBN-13(EAN): 9781522573388 Издательство: Turpin Рейтинг: Цена: 34373.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The amount of data shared and stored on the web and other document repositories is steadily on the rise. Unfortunately, this growth increases inefficiencies and difficulties when trying to find the most relevant and up-to-date information due to unstructured data.Advanced Metaheuristic Methods in Big Data Retrieval and Analytics examines metaheuristic techniques as an important alternative model for solving complex problems that are not treatable by deterministic methods. Recent studies suggest that IR and biomimicry can be used together for several application problems in big data and internet of things, especially when conventional methods would be too expensive or difficult to implement. Featuring coverage on a broad range of topics such as ontology, plagiarism detection, and machine learning, this book is ideally designed for engineers, graduate students, IT professionals, and academicians seeking an overview of new trends in information retrieval in big data.
Автор: Radosavljevic Jordan Название: Metaheuristic Optimization in Power Engineering ISBN: 1785615467 ISBN-13(EAN): 9781785615467 Издательство: Неизвестно Цена: 28967.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A metaheuristic is a consistent set of ideas, concepts, and operators to design a heuristic optimization algorithm, which can provide a sufficiently good solution to an optimization problem with incomplete or imperfect information. Modern and emerging power systems, with the growing complexity of distributed and intermittent generation, are an important application for such methods.
This book describes the principles of solving various problems in power engineering via the application of selected metaheuristic optimization methods including genetic algorithms, particle swarm optimization, and the gravitational search algorithm. Applications covered include power flow calculation; optimal power flow in transmission networks; optimal reactive power dispatch in transmission networks; combined economic and emission dispatch; optimal power flow in distribution networks; optimal volt/var control in distribution networks; optimal placement and sizing of distributed generation in distribution networks; optimal energy and operation management of microgrids; optimal coordination of directional overcurrent relays; and steady-state analysis of self-excited induction generators.
This book is ideal for researchers in areas of power system analysis and power system optimization. It is also highly suited for advanced students of electrical engineering and power engineering; power system engineers.
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