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
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Цена: 66690.00 T
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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: 3319091581 ISBN-13(EAN): 9783319091587
Издательство: Springer
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Цена: 130430.00 T
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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.

Автор: Chun-Hung Tzeng
Название: A Theory of Heuristic Information in Game-Tree Search
ISBN: 3642648126 ISBN-13(EAN): 9783642648120
Издательство: Springer
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Цена: 81050.00 T
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Описание: A solution to this problem is a sequence of moves leading from the initial configuration to the goal configuration, and an optimal solution is a solution having the smallest number of moves.

Автор: Emiliano Ippoliti
Название: Heuristic Reasoning
ISBN: 3319362224 ISBN-13(EAN): 9783319362229
Издательство: Springer
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Цена: 95770.00 T
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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.

Автор: Amitava Chatterjee; Hadi Nobahari; Patrick Siarry
Название: Advances in Heuristic Signal Processing and Applications
ISBN: 364244525X ISBN-13(EAN): 9783642445255
Издательство: Springer
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Цена: 121110.00 T
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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: David Aldous
Название: Probability Approximations via the Poisson Clumping Heuristic
ISBN: 1441930884 ISBN-13(EAN): 9781441930880
Издательство: Springer
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Цена: 121110.00 T
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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: 364237879X ISBN-13(EAN): 9783642378799
Издательство: Springer
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Цена: 93160.00 T
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Chap. 1: Nonconvex Optimization via Joint Norm Relaxed SQP and Filled Function Method with Application to Minimax Two-Channel Linear Phase FIR QMF Bank Design.- Chap. 2: Robust Reduced-Rank Adaptive LCMV Beamforming Algorithms Based on Joint Iterative Optimization of Parameters.- Chap. 3: Designing OFDM Radar Waveform for Target Detection Using Multiobjective Optimization.- Chap. 4: Multiobject Tracking using Particle Swarm Optimization on Target Interactions.- Chap. 5: A Comparative Study of Modified BBO Variants and Other Metaheuristics for Optimal Power Allocation in Wireless Sensor Networks.- Chap. 6: Joint Optimization of Detection and Tracking in Adaptive Radar Systems.- Chap. 7: Iterative Design of FIR Filters.- Chap. 8: A Metaheuristic Approach to Two-Dimensional Recursive Digital Filter Design.- Chap. 9: A Survey of Kurtosis Optimization Schemes for MISO Source Separation and Equalization.- Chap. 10: Swarm Intelligence Techniques Applied to Nonlinear Systems State Estimation.- Chap. 11: Heuristic Optimal Design of Multiplier-less Digital Filter.- Chap. 12: Hybrid Correlation-Neural Network Synergy for Gait Signal Classification.- Chap. 13: Image Denoising Using Wavelets: Application in Medical Imaging.- Chap. 14: Signal Separation with A Priori Knowledge Using Sparse Representation.- Chap. 15: Definition of a Discrete Color Monogenic Wavelet Transform.- Chap. 16: On Image Matching and Feature Tracking for Embedded Systems: State of the Art.

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: El-Ghazali Talbi; Amir Nakib
Название: Bioinspired Heuristics for Optimization
ISBN: 3030069788 ISBN-13(EAN): 9783030069780
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. 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.

Автор: David Aldous
Название: Probability Approximations via the Poisson Clumping Heuristic
ISBN: 0387968997 ISBN-13(EAN): 9780387968995
Издательство: Springer
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Цена: 121110.00 T
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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: 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
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Цена: 46570.00 T
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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: 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.