Описание: The proposed solution implements three approaches to multi-objective multi-constraint optimization, namely, an evolutionary approach with NSGAII, a swarm intelligence approach with MOPSO and stochastic hill climbing approach with MOSA.
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.
In this book a neural network learning method with type-2 fuzzy weight adjustment is proposed. The mathematical analysis of the proposed learning method architecture and the adaptation of type-2 fuzzy weights are presented. The proposed method is based on research of recent methods that handle weight adaptation and especially fuzzy weights.
The internal operation of the neuron is changed to work with two internal calculations for the activation function to obtain two results as outputs of the proposed method. Simulation results and a comparative study among monolithic neural networks, neural network with type-1 fuzzy weights and neural network with type-2 fuzzy weights are presented to illustrate the advantages of the proposed method.
The proposed approach is based on recent methods that handle adaptation of weights using fuzzy logic of type-1 and type-2. The proposed approach is applied to a cases of prediction for the Mackey-Glass (for ?=17) and Dow-Jones time series, and recognition of person with iris biometric measure. In some experiments, noise was applied in different levels to the test data of the Mackey-Glass time series for showing that the type-2 fuzzy backpropagation approach obtains better behavior and tolerance to noise than the other methods.
The optimization algorithms that were used are the genetic algorithm and the particle swarm optimization algorithm and the purpose of applying these methods was to find the optimal type-2 fuzzy inference systems for the neural network with type-2 fuzzy weights that permit to obtain the lowest prediction error.
Автор: Xin-She Yang Название: Cuckoo Search and Firefly Algorithm ISBN: 3319021400 ISBN-13(EAN): 9783319021409 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As well as flexibility and efficiency, nature-inspired algorithms are relatively easy to implement. This review of two of the most popular is a timely summary of recent progress in their theory and applications, and includes detailed analysis and case studies.
Автор: Leslie Astudillo; Patricia Melin; Oscar Castillo Название: Chemical Optimization Algorithm for Fuzzy Controller Design ISBN: 3319052446 ISBN-13(EAN): 9783319052441 Издательство: Springer Рейтинг: Цена: 8489.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Introduction.-
Theory and Background.-
Chemical Definitions.-
The Proposed Chemical Reaction Algorithm.-
Application Problems.-
Simulation Results.-
Conclusions.
Автор: Asmussen Название: Stochastic Simulation: Algorithms and Analysis ISBN: 038730679X ISBN-13(EAN): 9780387306797 Издательство: Springer Рейтинг: Цена: 6981.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods , as well as accompanying mathematical analysis of the convergence properties of the methods discussed . The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first half of the book focusses on general methods, whereas the second half discusses model-specific algorithms. Given the wide range of examples, exercises and applications students, practitioners and researchers in probability, statistics, operations research, economics, finance, engineering as well as biology and chemistry and physics will find the book of value. Soren Asmussen is Professor of Applied Probability at Aarhus University, Denmark and Peter Glynn is Thomas Ford Professor of Engineering at Stanford University.
Автор: Zong Woo Geem Название: Music-Inspired Harmony Search Algorithm ISBN: 3642101240 ISBN-13(EAN): 9783642101243 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: There exists an analogy between music and optimization. This book focuses on a music-inspired metaheuristic algorithm, harmony search. It details both theoretical backgrounds and practical applications of harmony search algorithms.
Автор: Zong Woo Geem Название: Recent Advances in Harmony Search Algorithm ISBN: 364204316X ISBN-13(EAN): 9783642043161 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces major advances of the harmony search algorithm in recent years. Topics cover theory and application and include robotics, visual tracking, web text data mining, power flow planning, fuzzy control system, irrigation, logistics and more.
Автор: H. Levent Akin; Nancy M. Amato; Volkan Isler; A. F Название: Algorithmic Foundations of Robotics XI ISBN: 3319165941 ISBN-13(EAN): 9783319165943 Издательство: Springer Рейтинг: Цена: 22203.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This carefully edited volume is the outcome of the eleventh edition of the Workshop on Algorithmic Foundations of Robotics (WAFR), which is the premier venue showcasing cutting edge research in algorithmic robotics.
Автор: Zong Woo Geem Название: Recent Advances in Harmony Search Algorithm ISBN: 3642263178 ISBN-13(EAN): 9783642263170 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces major advances of the harmony search algorithm in recent years. Topics cover theory and application and include robotics, visual tracking, web text data mining, power flow planning, fuzzy control system, irrigation, logistics and more.
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