Posted by **exLib** at Feb. 27, 2016

ITAe | 2013 | ISBN: 9789535109839 | 292 pages | PDF | 15 MB

This book explores a variety of applications for search methods and techniques in different fields of electrical engineering. The book will serve as a useful resource for students, researchers and practitioners to further exploit the potential of search methods in solving hard optimization problems that arise in advanced engineering technologies, such as image and video processing issues, detection and resource allocation in telecommunication systems, security and harmonic reduction in power generation systems, as well as redundancy optimization problem and search-fuzzy learning mechanisms in industrial applications.

Posted by **mox1x2** at Oct. 12, 2007

Pages: 296 | Publisher: Springer (2005-08-22) | ISBN: 1402036663 | English | PDF | 5.1 MB

The success of a genetic algorithm when applied to an optimization problem depends upon several features present or absent in the problem to be solved, including the quality of the encoding of data, the geometric structure of the search space, deception or epistasis. This book deals essentially with the latter notion, presenting for the first time a complete state-of-the-art research on this notion, in a structured completely self-contained and methodical way

Posted by **hill0** at Dec. 9, 2016

English | 21 Dec. 2016 | ISBN: 3319463632 | 312 Pages | PDF | 7.47 MB

This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems. Unconstrained optimization gives the best solution based on numerical minimization of a single, scalar-valued objective function or cost function.

Posted by **Underaglassmoon** at Aug. 11, 2016

Springer | Mechanical Engineering | Jul 27 2016 | ISBN-10: 3319425196 | 183 pages | pdf | 6.15 mb

Authors: Taghavifar, Hamid, Mardani, Aref

Highlights new methods of soft computing for modelling and optimization

Provides several figures which help the reader assimilate the mechanics and physics of the problem

Posted by **tanas.olesya** at May 15, 2016

English | Jan. 23, 1997 | ISBN: 047118117X | 340 Pages | PDF | 15 MB

Engineers must make decisions regarding the distribution of expensive resources in a manner that will be economically beneficial. This problem can be realistically formulated and logically analyzed with optimization theory.

Posted by **ParRus** at April 27, 2016

WEBRip | English | MP4 + Project files | 1280 x 720 | AVC ~748 kbps | 15 fps

AAC ~128 Kbps | 44.1 KHz | 2 channels | 2h 20mn | 700.1 MB

AAC ~128 Kbps | 44.1 KHz | 2 channels | 2h 20mn | 700.1 MB

The core strength of Photoshop is the way it enables you to improve the quality of your images, whether you’re fixing a major problem or making a subtle adjustment. In this workshop Tim Grey explores a wide variety of techniques to help you get the best results when optimizing your images.

Posted by **Maroutan** at Jan. 14, 2015

Video2brain | English | 2012 | AVC 1280x720 | AAC 128 Kbps | 2h 20mn | 526.14 MB

Learn to Make Basic, Advanced, and Creative Adjustments. The core strength of Photoshop is the way it enables you to improve the quality of your images, whether you’re fixing a major problem or making a subtle adjustment. In this workshop Tim Grey explores a wide variety of techniques to help you get the best results when optimizing your images. He begins with basics like cropping, changing brightness and contrast, and correcting color balance, then moves on to more advanced adjustments like Shadows/Highlights, Curves, and dodging and burning. You’ll learn how to make targeted adjustments that affect only selected parts of the image and apply creative adjustments that don’t so much fix a problem as add a unique touch. And best of all, Tim teaches all these techniques as part of an overall workflow designed to help you work quickly, efficiently, and nondestructively.

Posted by **mox1x2** at Oct. 9, 2007

Pages: 568 | Publisher: Springer; 1 edition (November 29, 2006) | ISBN:3540345590 | English | Djvu | 6.1 MB

The search for optimal solutions pervades our daily lives. From the scientific point of view, optimization procedures play an eminent role whenever exact solutions to a given problem are not at hand or a compromise has to be sought, e.g. to obtain a sufficiently accurate solution within a given amount of time. This book addresses stochastic optimization procedures in a broad manner, giving an overview of the most relevant optimization philosophies in the first part. The second part deals with benchmark problems in depth, by applying in sequence a selection of optimization procedures to them. While having primarily scientists and students from the physical and engineering sciences in mind, this book addresses the larger community of all those wishing to learn about stochastic optimization techniques and how to use them

Posted by **ferret2005** at May 15, 2007

183155

**Carlos Cotta (Editor), Jano van Hemert (Editor), «Evolutionary Computation in Combinatorial Optimization»**

Springer | ISBN 3540716149 | 2007 | pdf | 252 Pages | 3352 KB

Springer | ISBN 3540716149 | 2007 | pdf | 252 Pages | 3352 KB

This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2007, held in Valencia, Spain in April 2007. The 21 revised full papers presented were carefully reviewed and selected from 81 submissions. The papers cover evolutionary algorithms as well as various other metaheuristics, like scatter search, tabu search, memetic algorithms, variable neighborhood search, greedy randomized adaptive search procedures, ant colony optimization, and particle swarm optimization algorithms. The papers are specifically dedicated to the application of evolutionary computation and related methods to combinatorial optimization problems and cover any issue of metaheuristic for combinatorial optimization. The papers deal with representations, heuristics, analysis of problem structures, and comparisons of algorithms. The list of studied combinatorial optimization problems includes prominent examples like graph coloring, knapsack problems, the traveling salesperson problem, scheduling, graph matching, as well as specific real-world problems.

Posted by **hill0** at Dec. 9, 2016

English | 4 Jan. 2017 | ISBN: 148422468X | 226 Pages | PDF | 1.59 MB

Solve your Ruby programming problems that occur during your day-to-day scripting work. This book contains a varied selection of practical and interesting code recipes designed to make your coding life easier. Ruby Recipes includes solutions to problems in working with data, handling exceptions, writing blocks, and using regular expressions.