Visual Search Techniques

Author: Armed Forces-NRC Vision Committee
Editor: National Academies
ISBN:
Size: 18,41 MB
Format: PDF
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Music Inspired Harmony Search Algorithm

Author: Zong Woo Geem
Editor: Springer Science & Business Media
ISBN: 364200184X
Size: 13,48 MB
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Calculus has been used in solving many scientific and engineering problems. For optimization problems, however, the differential calculus technique sometimes has a drawback when the objective function is step-wise, discontinuous, or multi-modal, or when decision variables are discrete rather than continuous. Thus, researchers have recently turned their interests into metaheuristic algorithms that have been inspired by natural phenomena such as evolution, animal behavior, or metallic annealing. This book especially focuses on a music-inspired metaheuristic algorithm, harmony search. Interestingly, there exists an analogy between music and optimization: each musical instrument corresponds to each decision variable; musical note corresponds to variable value; and harmony corresponds to solution vector. Just like musicians in Jazz improvisation play notes randomly or based on experiences in order to find fantastic harmony, variables in the harmony search algorithm have random values or previously-memorized good values in order to find optimal solution.

Stochastic Adaptive Search For Global Optimization

Author: Z.B. Zabinsky
Editor: Springer Science & Business Media
ISBN: 9781402075261
Size: 17,11 MB
Format: PDF
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The field of global optimization has been developing at a rapid pace. There is a journal devoted to the topic, as well as many publications and notable books discussing various aspects of global optimization. This book is intended to complement these other publications with a focus on stochastic methods for global optimization. Stochastic methods, such as simulated annealing and genetic algo rithms, are gaining in popularity among practitioners and engineers be they are relatively easy to program on a computer and may be cause applied to a broad class of global optimization problems. However, the theoretical performance of these stochastic methods is not well under stood. In this book, an attempt is made to describe the theoretical prop erties of several stochastic adaptive search methods. Such a theoretical understanding may allow us to better predict algorithm performance and ultimately design new and improved algorithms. This book consolidates a collection of papers on the analysis and de velopment of stochastic adaptive search. The first chapter introduces random search algorithms. Chapters 2-5 describe the theoretical anal ysis of a progression of algorithms. A main result is that the expected number of iterations for pure adaptive search is linear in dimension for a class of Lipschitz global optimization problems. Chapter 6 discusses algorithms, based on the Hit-and-Run sampling method, that have been developed to approximate the ideal performance of pure random search. The final chapter discusses several applications in engineering that use stochastic adaptive search methods.

Search Methodologies

Author: Edmund K. Burke
Editor: Springer Science & Business Media
ISBN: 0387283560
Size: 12,17 MB
Format: PDF, ePub, Mobi
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This book is a tutorial survey of the methodologies that are at the confluence of several fields: Computer Science, Mathematics and Operations Research. It provides a carefully structured and integrated treatment of the major technologies in optimization and search methodology. The chapter authors are drawn from across Computer Science and Operations Research and include some of the world’s leading authorities in their field. It can be used as a textbook or a reference book to learn and apply these methodologies to a wide range of today’s problems.

State Space Search

Author: Weixiong Zhang
Editor: Springer Science & Business Media
ISBN: 9780387988320
Size: 20,99 MB
Format: PDF, Kindle
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This book is about problem-solving. In particular it is about heuristic state-space search for combinatorial optimization - one of the fundamental problems of computer science. Its two central themes are the average-case complexity of state-space search algorithms and the applications of the results notably to branch-and-bound techniques. These include best-first search, depth-first branch-and- bound, iterative deepening, recursive best-first search, and constant- space best-first search. Primarily written for researchers in computer science, the author presupposes a basic familiarity with complexity theory. In addition, it is assumed that the reader is familiar with the basic concepts of random variables and recursive functions. Two succesful applications are presented in depth: one is a set of state-space transformation methods which can be used to find approximate solutions qwuickly, and the second is a method called forward estimation for constructing more informative evaluation functions.

Exploratory Search

Author: Ryen White
Editor: Morgan & Claypool Publishers
ISBN: 1598297848
Size: 20,51 MB
Format: PDF
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As information becomes more ubiquitous and the demands that searchers have on search systems grow, there is a need to support search behaviors beyond simple lookup. Information seeking is the process or activity of attempting to obtain information in both human and technological contexts. Exploratory search describes an information-seeking problem context that is open-ended, persistent, and multifaceted, and information-seeking processes that are opportunistic, iterative, and multitactical. Exploratory searchers aim to solve complex problems and develop enhanced mental capacities. Exploratory search systems support this through symbiotic human-machine relationships that provide guidance in exploring unfamiliar information landscapes. Exploratory search has gained prominence in recent years. There is an increased interest from the information retrieval, information science, and human-computer interaction communities in moving beyond the traditional turn-taking interaction model supported by major Web search engines, and toward support for human intelligence amplification and information use. In this lecture, we introduce exploratory search, relate it to relevant extant research, outline the features of exploratory search systems, discuss the evaluation of these systems, and suggest some future directions for supporting exploratory search. Exploratory search is a new frontier in the search domain and is becoming increasingly important in shaping our future world. Table of Contents: Introduction / Defining Exploratory Search / Related Work / Features of Exploratory Search Systems / Evaluation of Exploratory Search Systems / Future Directions and concluding Remarks

Search Theory

Author: Chudnovsky
Editor: CRC Press
ISBN: 9780824780005
Size: 14,47 MB
Format: PDF
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On the solution of an optimal search problem with an exponential detection function. Covers one- and two-sided detection problems by furnishing continuous and discret time strategies; examines two-sided search strategies with solutions in hide and seek games in many discrete and continuous bounded

Search And Rescue Dogs

Author: Charles George
Editor: Capstone
ISBN: 9781560657538
Size: 15,31 MB
Format: PDF, Docs
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Describes the history, selection, training, and accomplishments of different dogs used in search and rescue operations.

The Complete Academic Search Manual

Author: Lauren A. Vicker
Editor: Stylus Publishing, LLC.
ISBN: 1579221394
Size: 15,75 MB
Format: PDF, ePub, Mobi
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* Covers searches for all faculty, staff, and administrative positions * Emphasizes aligning hires to departmental and institutional goals * Describes proven practices for successful outcomes Successful academic searches, where high caliber college faculty and administrators are recruited and retained, are critical to the vitality and sustainability of every institution. In higher education many faculty and administrators are thrust into the role of academic search with little preparation other than their own experience of being interviewed. Typically search committees also have to manage the process in the context of already heavy workloads. This manual provides faculty members, department heads, chairs, deans, and members of search committees with a straightforward ten-step process, using proven strategies and systematic planning, designed to facilitate group dynamics while members seek out and identify high caliber candidates and reach consensus on the best one for the institution. This book concisely lays out everything committee members need to know, replete with real life examples from diverse institutions, sample forms, timelines, and checklists. The process begins with the composition of the committee, understanding its charge, and the responsibilities of the chair and its members. It then leads the committee through the steps of drawing up the position description using input from all stakeholders, publicizing the position, evaluating resumes, planning and conducting interviews, narrowing the pool, to the final selection and negotiation processes. Throughout, the authors attend to issues of diversity and inclusion, aligning the hire with institutional goals, and avoiding legal pitfalls. Equally importantly, they set out a framework for welcoming, acclimating, and retaining new hires to ensure the return on the institution's substantial investment of time and expense to recruit them.

Harmony Search Algorithms For Structural Design Optimization

Author: Zong Woo Geem
Editor: Springer Science & Business Media
ISBN: 3642034497
Size: 20,69 MB
Format: PDF, Docs
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Various structures, such as buildings, bridges, and paved roads play an important role in our lives. However, these construction projects require large expenditures. Designing infrastructure cost-efficiently while satisfying all necessary design constraints is one of the most important and difficult tasks for a structural engineer. Traditionally, mathematical gradient-based optimization techniques have been applied to these designs. However, these gradient-based methods are not suitable for discrete design variables such as factory-made cross sectional area of structural members. Recently, researchers have turned their interest to phenomenon-mimicking optimization techniques because these techniques have proved able to efficiently handle discrete design variables. One of these techniques is harmony search, an algorithm developed from musical improvisation that has been applied to various structural design problems and has demonstrated cost-savings. This book gathers all the latest developments relating to the application of the harmony search algorithm in the structural design field in order for readers to efficiently understand the full spectrum of the algorithm’s potential and to easily apply the algorithm to their own structural problems. This book contains six chapters with the following subjects: standard harmony search algorithm and its applications by Lee; standard harmony search algorithm for steel frame design by Degertekin; adaptive harmony search algorithm and its applications by Saka and Hasançebi; harmony particle swarm algorithm and its applications by Li and Liu; hybrid algorithm of harmony search, particle swarm & ant colony for structural design by Kaveh and Talatahari; and parameter calibration of viscoelastic and damage functions by Mun and Geem.