Fractional Order Darwinian Particle Swarm Optimization: Applications and Evaluation of an Evolutionary Algorithm (SpringerBriefs in Applied Sciences and Technology) by Micael Couceiro PDF

Product Details:

Author(s): Micael Couceiro

Publisher: --

Category: Algorithms

Date: 16.06.2015

Pages: 75

Language: English

ISBN-10: 3319196340

ISBN-13: 9783319196343

Format: EPUB/AZW3/PDF

Book Description:

This book examines the bottom-up applicability of swarm intelligence to solving multiple problems, such as curve fitting, image segmentation, and swarm robotics. It compares the capabilities of some of the better-known bio-inspired optimization approaches, especially Particle Swarm Optimization (PSO), Darwinian Particle Swarm Optimization (DPSO) and the recently proposed Fractional Order Darwinian Particle Swarm Optimization (FODPSO), and comprehensively discusses their advantages and disadvantages. Further, it demonstrates the superiority and key advantages of using the FODPSO algorithm, such as its ability to provide an improved convergence towards a solution, while avoiding sub-optimality. This book offers a valuable resource for researchers in the fields of robotics, sports science, pattern recognition and machine learning, as well as for students of electrical engineering and computer science.

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Algorithms in a Nutshell by George T. Heineman PDF

Product Details:

Author(s): George T. Heineman

Publisher: --

Category: Algorithms

Date: 24.10.2008

Pages: 364

Language: English

ISBN-10: 059651624X

ISBN-13: 9780596516246

Format: EPUB, PDF

Book Description:

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs with just enough math to let you understand and analyze algorithm performance. With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate. With this book, you will: Solve a particular coding problem or improve on the performance of an existing solution Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use Get algorithmic solutions in C, C++, Java, and Ruby with implementation tips Learn the expected performance of an algorithm, and the conditions it needs to perform at its best Discover the impact that similar design decisions have on different algorithms Learn advanced data structures to improve the efficiency of algorithms With Algorithms in a Nutshell, you ll learn how to improve the performance of key algorithms essential for the success of your software applications.

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Integrated Imaging and Vision Techniques for Industrial Inspection: Advances and Applications (Advances in Computer Vision and Pattern Recognition) by Zheng Liu (Editor), Hiroyuki Ukida (Editor), Pradeep Ramuhalli (Editor), Kurt Niel (Editor) PDF

Product Details:

Author(s): Zheng Liu (Editor), Hiroyuki Ukida (Editor), Pradeep Ramuhalli (Editor), Kurt Niel (Editor)

Publisher: --

Category: Algorithms

Date: 24.09.2015

Pages: 541

Language: English

ISBN-10: 1447167406

ISBN-13: 9781447167402

Format: pdf

Book Description:

This pioneering text/reference presents a detailed focus on the use of machine vision techniques in industrial inspection applications. An internationally renowned selection of experts provide insights on a range of inspection tasks, drawn from their cutting-edge work in academia and industry, covering practical issues of vision system integration for real-world applications. Topics and features: Presents a comprehensive review of state-of-the-art hardware and software tools for machine vision, and the evolution of algorithms for industrial inspection Includes in-depth descriptions of advanced inspection methodologies and machine vision technologies for specific needs Discusses the latest developments and future trends in imaging and vision techniques for industrial inspection tasks Provides a focus on imaging and vision system integration, implementation, and optimization Describes the pitfalls and barriers to developing successful inspection systems for smooth and efficient manufacturing process Bridging the gap between theoretical knowledge and engineering practice, this indispensable book will appeal to graduate students interested in imaging, machine vision, and industrial inspection. The work also serves as an excellent reference for researchers seeking to develop innovative solutions to tackle practical challenges, and for professional engineers who will benefit from the coverage of applications at both system and component level.

Tags: Integrated Imaging and Vision Techniques for Industrial Inspection: Advances and Applications (Advances in Computer Vision and Pattern Recognition) by Zheng Liu (Editor), Hiroyuki Ukida (Editor), Pradeep Ramuhalli (Editor), Kurt Niel (Editor), pdf, epub, mobi, fb2, djvu, lit, txt, rtf, doc, docx, chm, htmlz, lrf, azw, azw3, kindle, ebook