Doctor and the algorithm, Graham, S. Scott (associate Professor In The Department Of Rhetoric And Writing, Associate Professor In The Department Of Rhetoric And Writing, The Un

Автор: Shi
Название: Emerging Research On Swarm Intelligence And Algorithm Optimization
ISBN: 1466663286 ISBN-13(EAN): 9781466663282
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
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: Castillo Oscar, Rodriguez Luis
Название: A New Meta-Heuristic Optimization Algorithm Based on the String Theory Paradigm from Physics
ISBN: 3030822877 ISBN-13(EAN): 9783030822873
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on the fields of nature-inspired algorithms, optimization problems and fuzzy logic. In this book, a new metaheuristic based on String Theory from Physics is proposed. It is important to mention that we have proposed the new algorithm to generate new potential solutions in optimization problems in order to find new ways that could improve the results in solving these problems. We are presenting the results for the proposed method in different cases of study. The first case, is optimization of traditional benchmark mathematical functions. The second case, is the optimization of benchmark functions of the CEC 2015 Competition and we are also presenting results of the CEC 2017 Competition on Constrained Real-Parameter Optimization that are problems that contain the presence of constraints that alter the shape of the search space making them more difficult to solve. Finally, in the third case, we are presenting the optimization of a fuzzy inference system, specifically for finding the optimal design of a fuzzy controller for an autonomous mobile robot. It is important to mention that in all study cases we are presenting statistical tests in or-der to validate the performance of proposed method. In summary, we believe that this book will be of great interest to a wide audience, ranging from engineering and science graduate students, to researchers and professors in computational intelligence, metaheuristics, optimization, robotics and control.

Автор: Sujatha R., Aarthy S. L., Vettriselvan R.
Название: Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics
ISBN: 0367466635 ISBN-13(EAN): 9780367466633
Издательство: Taylor&Francis
Рейтинг:
Цена: 117390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data science revolves around two giants, which are big data analytics and deep learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of big data along with deep learning systems.

Автор: Fei Tao; Lin Zhang; Yuanjun Laili
Название: Configurable Intelligent Optimization Algorithm
ISBN: 3319380419 ISBN-13(EAN): 9783319380414
Издательство: Springer
Рейтинг:
Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presenting the concept and design and implementation of configurable intelligent optimization algorithms in manufacturing systems, this book provides a new configuration method to optimize manufacturing processes.

Автор: Yuri Malitsky
Название: Instance-Specific Algorithm Configuration
ISBN: 3319381237 ISBN-13(EAN): 9783319381237
Издательство: Springer
Рейтинг:
Цена: 65210.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a modular and expandable technique in the rapidly emerging research area of automatic configuration and selection of the best algorithm for the instance at hand.

Автор: Xin-She Yang
Название: Cuckoo Search and Firefly Algorithm
ISBN: 3319375369 ISBN-13(EAN): 9783319375366
Издательство: Springer
Рейтинг:
Цена: 104480.00 T
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: David M. Steier; A. Penny Anderson
Название: Algorithm Synthesis: A Comparative Study
ISBN: 0387969608 ISBN-13(EAN): 9780387969602
Издательство: Springer
Рейтинг:
Цена: 97820.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In early 1986, one of us (D.M.S.) was constructing an artificial intelligence system to design algorithms, and the other (A.P.A.) was getting started in program transformations research.

Автор: Ying Tan
Название: Fireworks Algorithm
ISBN: 3662463520 ISBN-13(EAN): 9783662463529
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is devoted to the state-of-the-art in all aspects of fireworks algorithm (FWA), with particular emphasis on the efficient improved versions of FWA.

Автор: Amezcua
Название: New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic
ISBN: 3319737724 ISBN-13(EAN): 9783319737720
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this book a new model for data classification was developed. Some architectures were developed in order to work mainly with two datasets, an arrhythmia dataset (using ECG signals) for classifying 15 different types of arrhythmias, and a satellite images segments dataset used for classifying six different types of soil.

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

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
Рейтинг:
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.

Автор: Ravipudi Venkata Rao
Название: Jaya: An Advanced Optimization Algorithm and its Engineering Applications
ISBN: 3030076806 ISBN-13(EAN): 9783030076801
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.