Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance, Pandian Vasant

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: 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: 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: 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: Pavel B. Brazdil; Kurt Konolige
Название: Machine Learning, Meta-Reasoning and Logics
ISBN: 0792390474 ISBN-13(EAN): 9780792390473
Издательство: Springer
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Цена: 153720.00 T
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Описание: This book contains a selection of papers presented at the International Workshop Machine Learning, Meta-Reasoning and Logics held in Hotel de Mar in Sesimbra, Portugal, 15-17 February 1988. Meta-Reasoning and Machine Learning The first chapter is concerned with the role meta-reasoning plays in intelligent systems capable of learning.

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
Наличие на складе: Невозможна поставка.
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.

Автор: Kaveh
Название: Meta-heuristic Algorithms for Optimal Design of Real-Size Structures
ISBN: 3319787799 ISBN-13(EAN): 9783319787794
Издательство: Springer
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Цена: 93160.00 T
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Описание: The contributions in this book discuss large-scale problems like the optimal design of domes, antennas, transmission line towers, barrel vaults and steel frames with different types of limitations such as strength, buckling, displacement and natural frequencies.

Автор: Krzysztof Gr?bczewski
Название: Meta-Learning in Decision Tree Induction
ISBN: 331937723X ISBN-13(EAN): 9783319377230
Издательство: Springer
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Цена: 130590.00 T
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Описание: This book discusses decision tree induction, reviewing techniques used in decision tree learning, and ensemble methods that involve decision trees. The second half reviews meta-learning approaches, including many that provide a ranking of algorithms.

Автор: Krzysztof Gr?bczewski
Название: Meta-Learning in Decision Tree Induction
ISBN: 3319009591 ISBN-13(EAN): 9783319009599
Издательство: Springer
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Цена: 148020.00 T
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Описание: This book discusses decision tree induction, reviewing techniques used in decision tree learning, and ensemble methods that involve decision trees. The second half reviews meta-learning approaches, including many that provide a ranking of algorithms.

Автор: Frumen Olivas; Fevrier Valdez; Oscar Castillo; Pat
Название: Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
ISBN: 3319708503 ISBN-13(EAN): 9783319708508
Издательство: Springer
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Цена: 51230.00 T
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Описание: Introduction.- Theory and Background.- Problems Statement.- Methodology.- Simulation Results.- Statistical Analysis and Comparison of Results.

Автор: Norbert Jankowski; W?odzis?aw Duch; Krzysztof Gr?b
Название: Meta-Learning in Computational Intelligence
ISBN: 3642268587 ISBN-13(EAN): 9783642268588
Издательство: Springer
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Цена: 204040.00 T
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Описание: This book defines and discusses new theoretical and practical trends in meta-learning, which shifts the focus of the field of computational intelligence (CI) from individual learning algorithms to the higher level of learning how to learn.