The GLOBAL Optimization Algorithm, Bal?zs B?nhelyi; Tibor Csendes; Bal?zs L?vai; L?sz

Автор: Shi
Название: Emerging Research On Swarm Intelligence And Algorithm Optimization
ISBN: 1466663286 ISBN-13(EAN): 9781466663282
Издательство: Mare Nostrum (Eurospan)
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Цена: 218990.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence.>Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design. Discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field, this publication serves as an essential reference for academicians, upper-level students, IT developers, and IT theorists.

Автор: R. Venkata Rao
Название: Teaching Learning Based Optimization Algorithm
ISBN: 3319227319 ISBN-13(EAN): 9783319227313
Издательство: Springer
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Цена: 121890.00 T
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Описание: Teaching Learning Based Optimization Algorithm

Автор: Maschler
Название: Game Theory
ISBN: 1107005485 ISBN-13(EAN): 9781107005488
Издательство: Cambridge Academ
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Цена: 69690.00 T
Наличие на складе: Невозможна поставка.
Описание: Covering both noncooperative and cooperative games, this comprehensive introduction to game theory also includes some advanced chapters on auctions, games with incomplete information, games with vector payoffs, stable matchings and the bargaining set. Mathematically oriented, the book presents every theorem alongside a proof. The material is presented clearly and every concept is illustrated with concrete examples from a broad range of disciplines. With numerous exercises the book is a thorough and extensive guide to game theory from undergraduate through graduate courses in economics, mathematics, computer science, engineering and life sciences to being an authoritative reference for researchers.

Автор: Leticia Amador; Oscar Castillo
Название: Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm
ISBN: 331954294X ISBN-13(EAN): 9783319542942
Издательство: Springer
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Цена: 69870.00 T
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Описание: For this reason we consider in this book the proposed method using fuzzy systems, fuzzy controllers, and bee colony optimization algorithm improve the behavior of the complex control problems.

Автор: Ravipudi Venkata Rao
Название: Jaya: An Advanced Optimization Algorithm and its Engineering Applications
ISBN: 3030076806 ISBN-13(EAN): 9783030076801
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book introduces readers to the “Jaya” algorithm, an advanced optimization technique that can be applied to many physical and engineering systems. It describes the algorithm, discusses its differences with other advanced optimization techniques, and examines the applications of versions of the algorithm in mechanical, thermal, manufacturing, electrical, computer, civil and structural engineering.In real complex optimization problems, the number of parameters to be optimized can be very large and their influence on the goal function can be very complicated and nonlinear in character. Such problems cannot be solved using classical methods and advanced optimization methods need to be applied. The Jaya algorithm is an algorithm-specific parameter-less algorithm that builds on other advanced optimization techniques. The application of Jaya in several engineering disciplines is critically assessed and its success compared with other complex optimization techniques such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Differential Evolution (DE), Artificial Bee Colony (ABC), and other recently developed algorithms.

Автор: Venkata Rao
Название: Jaya: An Advanced Optimization Algorithm and its Engineering Applications
ISBN: 331978921X ISBN-13(EAN): 9783319789217
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book introduces readers to the "Jaya" algorithm, an advanced optimization technique that can be applied to many physical and engineering systems.

Автор: Skiena, Steve S. (state University Of New York, St
Название: Algorithm design manual
ISBN: 1848000693 ISBN-13(EAN): 9781848000698
Издательство: Springer
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Цена: 60550.00 T
Наличие на складе: Нет в наличии.
Описание: Explaining designing algorithms, and analyzing their efficacy and efficiency, this book covers combinatorial algorithms technology, stressing design over analysis. It presents instruction on methods for designing and analyzing computer algorithms. It contains the catalog of algorithmic resources, implementations and a bibliography.

Название: Combinatorial and global optimization
ISBN: 9810248024 ISBN-13(EAN): 9789810248024
Издательство: World Scientific Publishing
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Цена: 100320.00 T
Наличие на складе: Поставка под заказ.
Описание: Combinatorial and global optimization problems appear in a wide range of applications in operations research, engineering, and biological and computer science. This is a selection of refereed papers based on talks presented at a conference on "Combinatorial and Global Optimization" held at Crete.

Автор: Camilo Caraveo; Fevrier Valdez; Oscar Castillo
Название: A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature
ISBN: 3030055507 ISBN-13(EAN): 9783030055509
Издательство: Springer
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Цена: 51230.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstrated the various self-defense mechanisms (survival strategies) plants use to protect themselves against predatory organisms, such as herbivorous insects. The proposed algorithm is based on the predator–prey mathematical model originally proposed by Lotka and Volterra, consisting of two nonlinear first-order differential equations, which allow the growth of two interacting populations (prey and predator) to be modeled. The proposed meta-heuristic is able to produce excellent results in several sets of benchmark optimization problems. Further, fuzzy logic is used for dynamic parameter adaptation in the algorithm.