Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms, Eftimov
Автор: Stefan Edelkamp Название: Heuristic Search, ISBN: 0123725127 ISBN-13(EAN): 9780123725127 Издательство: Elsevier Science Рейтинг: Цена: 10004.00 р. 11115.00-10% Наличие на складе: Есть (1 шт.) Описание: Search has been vital to artificial intelligence from the very beginning as a core technique in problem solving. This title presents a thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and application to real-world problems.
Автор: Emiliano Ippoliti Название: Heuristic Reasoning ISBN: 3319362224 ISBN-13(EAN): 9783319362229 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: And how can we use findings about scientific discovery to boost funding policies, thus fostering a deeper impact of scientific discovery itself?The respective chapters in this book provide readers with answers to these questions.
Описание: If you place a large number of points randomly in the unit square, what is the distribution of the radius of the largest circle containing no points? If cars on a freeway move with constant speed (random from car to car), what is the longest stretch of empty road you will see during a long journey?
Автор: Amitava Chatterjee; Hadi Nobahari; Patrick Siarry Название: Advances in Heuristic Signal Processing and Applications ISBN: 364244525X ISBN-13(EAN): 9783642445255 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and multidimensional signal processing, namely image and video processing, with the recent focus changing from a step-by-step procedure of designing the algorithm first and following up with in-depth analysis and performance improvement to instead applying heuristic-based methods to solve signal-processing problems.
In this book the contributing authors demonstrate both general-purpose algorithms and those aimed at solving specialized application problems, with a special emphasis on heuristic iterative optimization methods employing modern evolutionary and swarm intelligence based techniques. The applications considered are in domains such as communications engineering, estimation and tracking, digital filter design, wireless sensor networks, bioelectric signal classification, image denoising, and image feature tracking.
The book presents interesting, state-of-the-art methodologies for solving real-world problems and it is a suitable reference for researchers and engineers in the areas of heuristics and signal processing.
Автор: El-Ghazali Talbi; Amir Nakib Название: Bioinspired Heuristics for Optimization ISBN: 3030069788 ISBN-13(EAN): 9783030069780 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
Описание: Introduction.- Theory and Background.- Problems Statement.- Methodology.- Simulation Results.- Statistical Analysis and Comparison of Results.
Описание: Computer Science and Operations Research continue to have a synergistic relationship and this book - as a part of the Operations Research and Computer Science Interface Series - sits squarely in the center of the confluence of these two technical research communities.
Название: Meta-heuristic Optimization Techniques ISBN: 3110716178 ISBN-13(EAN): 9783110716177 Издательство: Walter de Gruyter Рейтинг: Цена: 24909.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Without mathematics no science would survive. This especially applies to the engineering sciences which highly depend on the applications of mathematics and mathematical tools such as optimization techniques, finite element methods, differential equations, fluid dynamics, mathematical modelling, and simulation. Neither optimization in engineering, nor the performance of safety-critical system and system security; nor high assurance software architecture and design would be possible without the development of mathematical applications.
De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences (AMEIS) focusses on the latest applications of engineering and information technology that are possible only with the use of mathematical methods. By identifying the gaps in knowledge of engineering applications the AMEIS series fosters the international interchange between the sciences and keeps the reader informed about the latest developments.
Автор: Dietmar G. Maringer Название: Portfolio Management with Heuristic Optimization ISBN: 1441938427 ISBN-13(EAN): 9781441938428 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The second part (Applications and Contributions) consists of five chapters, covering different problems in financial optimization: the effects of (linear, proportional and combined) transaction costs together with integer constraints and limitations on the initital endowment to be invested;
Автор: Kumar, Kaushik (associate Professor, Department Of Название: Optimizing engineering problems through heuristic techniques ISBN: 1138485365 ISBN-13(EAN): 9781138485365 Издательство: Taylor&Francis Рейтинг: Цена: 25265.00 р. Наличие на складе: Поставка под заказ.
Описание: This book will cover the issues related to optimization of engineering problems using heuristic techniques, with an industrial outlook. It will cover a broad area related to optimization of real life complex engineering problems. It will explore wide perspectives and future directions in industrial engineering research on a global platform.
Описание: In a new approach to possibilistic clustering, the sought clustering structure of the set is based directly on the formal definition of fuzzy cluster and possibilistic memberships are determined directly from the values of the pairwise similarity of objects.
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