Heuristics for Optimization and Learning, Yalaoui Farouk, Amodeo Lionel, Talbi El-Ghazali

Автор: Gigerenzer, Gerd (director, Center For Adaptive Be
Название: Simple heuristics that make us smart
ISBN: 0195143817 ISBN-13(EAN): 9780195143812
Издательство: Oxford Academ
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Цена: 58080.00 T
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Описание: This work provides a psychologically plausible notion of rationality that is based on heuristics -- simple rules for making decisions using realistic mental resources. It looks at when and how such simple heuristics work, compares decisions based on single and multiple reasons, and describes benefits in situations of having only limited knowledge.

Автор: Nocedal, Jorge.
Название: Numerical Optimization
ISBN: 0387303030 ISBN-13(EAN): 9780387303031
Издательство: Springer
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Цена: 71080.00 T
Наличие на складе: Ожидается поступление.
Описание: Optimization is an important tool used in decision science and for the analysis of physical systems used in engineering. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.

Автор: Hatti Mustapha
Название: Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities: Case Study: Tipasa, Algeria
ISBN: 3030920372 ISBN-13(EAN): 9783030920371
Издательство: Springer
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Цена: 214280.00 T
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Описание: This book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the energy transition requires the use of techniques and tools based on artificial intelligence (AI) to overcome the challenges of the intermittence of resources and the cost of energy. The advent of the smart city makes an increased call for the integration of artificial intelligence and heuristics to meet the challenge of the increasing migration of populations to the city, in order to ensure food, energy, and environmental security of the citizen of the city and his well-being. This book is intended for policymakers, academics, practitioners, and students. Several real cases are exposed throughout the book to illustrate the concepts and methods of the networks and systems presented. This book proposes the development of new technological innovations—mainly ICT—the concept of “Smart City” appears as a means of achieving more efficient and sustainable cities. The overall goal of the book is to develop a comprehensive framework to help public and private stakeholders make informed decisions on smart city investment strategies and develop skills for assessment and prioritization, including resolution of difficulties with deployment and reproducibility.

Автор: Jos?-Luis Verdegay
Название: Fuzzy Sets Based Heuristics for Optimization
ISBN: 3642056113 ISBN-13(EAN): 9783642056116
Издательство: Springer
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Цена: 194730.00 T
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Описание: The aim of this volume is to show how Fuzzy Sets and Systems can help to provide robust and adaptive heuristic optimization algorithms in a variety of situations. The book presents the state of the art and gives a broad overview on the real practical applications that Fuzzy Sets, based on heuristic algorithms, have.

Автор: Talbi
Название: Bioinspired Heuristics for Optimization
ISBN: 3319951033 ISBN-13(EAN): 9783319951034
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book presents recent research on bioinspired heuristics for optimization. Featuring the most relevant work presented at the 6th International Conference on Metaheuristics and Nature Inspired Computing, held at Marrakech (Morocco) from 27th to 31st October 2016, the book presents solutions, methods, algorithms, case studies, and software.

Автор: Pandian Vasant
Название: Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance
ISBN: 1466620862 ISBN-13(EAN): 9781466620865
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
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Описание: Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance, and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists.

Автор: El-Ghazali Talbi; Amir Nakib
Название: Bioinspired Heuristics for Optimization
ISBN: 3030069788 ISBN-13(EAN): 9783030069780
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book presents recent research on bioinspired heuristics for optimization. Learning- based and black-box optimization exhibit some properties of intrinsic parallelization, and can be used for various optimizations problems. Featuring the most relevant work presented at the 6th International Conference on Metaheuristics and Nature Inspired Computing, held at Marrakech (Morocco) from 27th to 31st October 2016, the book presents solutions, methods, algorithms, case studies, and software. It is a valuable resource for research academics and industrial practitioners.

Автор: Yalaoui Farouk, Amodeo Lionel, Talbi El-Ghazali
Название: Heuristics for Optimization and Learning
ISBN: 3030589293 ISBN-13(EAN): 9783030589295
Издательство: Springer
Цена: 158380.00 T
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Описание: This book is a new contribution aiming to give some last research findings in the field of optimization and computing. The challenge with this work is to gather the main contribution in three fields, optimization technique for production decision, general development for optimization and computing method and wider spread applications.

Автор: Thomas St?tzle; Mauro Birattari; Holger H. Hoos
Название: Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
ISBN: 3540744452 ISBN-13(EAN): 9783540744450
Издательство: Springer
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Цена: 60550.00 T
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Описание: Constitutes the refereed proceedings of the International Workshop on Engineering Stochastic Local Search Algorithms 2007, held in Brussels, Belgium, September 6-8, 2007. This work covers topics including Methodological developments, behavior of SLS algorithms, search space analysis, algorithm performance, tuning procedures and AI/OR techniques.

Автор: Ibrahim H. Osman; James P. Kelly
Название: Meta-Heuristics
ISBN: 1461285879 ISBN-13(EAN): 9781461285878
Издательство: Springer
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Цена: 343800.00 T
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Описание: These families of approaches include, but are not limited to greedy random adaptive search procedures, genetic algorithms, problem-space search, neural networks, simulated annealing, tabu search, threshold algorithms, and their hybrids.

Автор: Stefan Vo?; Silvano Martello; Ibrahim H. Osman; Ca
Название: Meta-Heuristics
ISBN: 1461376467 ISBN-13(EAN): 9781461376460
Издательство: Springer
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Цена: 186330.00 T
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Описание: Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimizations comprises a carefully refereed selection of extended versions of the best papers presented at the Second Meta-Heuristics Conference (MIC 97).

Автор: Brygida Cullen
Название: Computational Intelligence and Modern Heuristics
ISBN: 1681171996 ISBN-13(EAN): 9781681171999
Издательство: Gazelle Book Services
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Цена: 217350.00 T
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Описание: A heuristic technique, often called simply a heuristic, is any approach to problem solving, learning, or discovery that employs a practical method not guaranteed to be optimal or perfect, but sufficient for the immediate goals. Where finding an optimal solution is impossible or impractical, heuristic methods can be used to speed up the process of finding a satisfactory solution. Heuristics can be mental shortcuts that ease the cognitive load of making a decision. In computer science, artificial intelligence, and mathematical optimization, a heuristic is a technique designed for solving a problem more quickly when classic methods are too slow, or for finding an approximate solution when classic methods fail to find any exact solution. This is achieved by trading optimality, completeness, accuracy, or precision for speed. In a way, it can be considered a shortcut. A heuristic function, also called simply a heuristic, is a function that ranks alternatives in search algorithms at each branching step based on available information to decide which branch to follow. The objective of a heuristic is to produce a solution in a reasonable time frame that is good enough for solving the problem at hand. This solution may not be the best of all the actual solutions to this problem, or it may simply approximate the exact solution. But it is still valuable because finding it does not require a prohibitively long time. Heuristics may produce results by themselves, or they may be used in conjunction with optimization algorithms to improve their efficiency. Results about NP-hardness in theoretical computer science make heuristics the only viable option for a variety of complex optimization problems that need to be routinely solved in real-world applications. This book entitled Computational Intelligence and Modern Heuristics highlights on computational models using heuristic and meta-heuristic approaches.