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Bruce Clay Search Engine Optimization All-in-One For Dummies


The most comprehensive coverage of search engine optimization In Search Engine Optimization All-in-One For Dummies, 3rd Edition, Bruce Clay—whose search engine consultancy predates Google—shares everything you need to know about SEO. In minibooks that cover the entire topic, you'll discover how search engines work, how to apply effective keyword strategies, ways to use SEO to position yourself competitively, the latest on international SEO practices, and more. If SEO makes your head spin, this no-nonsense guide makes it easier. You'll get the lowdown on how to use search engine optimization to improve the quality and volume of traffic on your website via search engine results. Cutting through technical jargon, it gets you up to speed quickly on how to use SEO to get your website in the top of the rankings, target different kinds of searches, and win more industry-specific vertical search engine results! Includes new and updated material, featuring the latest on Bing!, Google instant search, image search, and much more Covers SEO and optimizing servers for SEO Provides important information on SEO web design Shows you how to use SEO to stay «above the fold» If you're a website owner, developer, marketer, or SEO consultant, Search Engine Optimization All-in-One For Dummies, Third Edition is the only resource you need to beat the competition.

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Danny Dover Search Engine Optimization (SEO) Secrets


Tips, tricks, and little-known methods used by professional SEO consultants to rank in some of the most competitive search phrases Search engine optimization (SEO) is the process of creating, formatting and promoting web pages in a manner that ensures that they are ranked highly for chosen keyword phrases after a user performs a Web search. This unique book taps the relatively unknown market of advanced SEO knowledge, and reveals secrets used by only the best SEO consultants. You'll take your Internet marketing skills to the next level as you gain a thorough understanding of standard SEO techniques such as on-page optimization, off-page optimization, and link building. Packed with real-world examples, this essential guide demonstrates how real SEO consultants work with Fortune 500 companies to get the results they desire. Coverage includes: Understanding Search Engine Optimization Relearning How You See the Web Picking the Right SEO Tools Finding SEO Problems Solving SEO Problems SEO Best Practices The SEO Consulting Process Comprehensive Site Audit (Informational Website) Comprehensive Site Audit (E-Commerce Website) Understanding the SEO Industry Search Engine Verticals Optimizing for Alternative Search Engines Setting Up a Testing Platform SEO Resources Attending SEO Conferences

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Peter Kent SEO For Dummies


Your fully updated guide to search engine optimization Packed with tips, tricks, and secrets, SEO For Dummies shows you how to create and maintain a website that ranks at the top of search engines and drives high-volume traffic. Using plain-English explanations and easy-to-follow instructions, this friendly guide helps you come to grips with search engine basics—what they are, which ones are important, and how to get started—and build a search-engine-friendly site. SEO is an integral part of getting a site to rank in the various search engines in order to attract potential customers. In the new edition of this bestselling guide to search engine optimization, you'll learn the ins and outs and best practices of successful SEO in order to make your website content more search-engine friendly so that it ranks higher among searches and draws the masses. Covering the latest information on pay-per-click options, using social media to boost your profile, and managing your platform and reputation to positively impact your search engine rankings, this hands-on guide is the fun and friendly place to start learning how to move your site to the top of the rankings. Develop a search strategy and use local search capabilities Build sites that increase your search visibility Analyze results with updated tracking tools Maximize content marketing strategies If you're asking yourself the essential question of «how do I get people to visit my site,» you've come to the right place!

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Thierry Benoist Mathematical Programming Solver Based on Local Search


This book covers local search for combinatorial optimization and its extension to mixed-variable optimization. Although not yet understood from the theoretical point of view, local search is the paradigm of choice for tackling large-scale real-life optimization problems. Today’s end-users demand interactivity with decision support systems. For optimization software, this means obtaining good-quality solutions quickly. Fast iterative improvement methods, like local search, are suited to satisfying such needs. Here the authors show local search in a new light, in particular presenting a new kind of mathematical programming solver, namely LocalSolver, based on neighborhood search. First, an iconoclast methodology is presented to design and engineer local search algorithms. The authors’ concern regarding industrializing local search approaches is of particular interest for practitioners. This methodology is applied to solve two industrial problems with high economic stakes. Software based on local search induces extra costs in development and maintenance in comparison with the direct use of mixed-integer linear programming solvers. The authors then move on to present the LocalSolver project whose goal is to offer the power of local search through a model-and-run solver for large-scale 0-1 nonlinear programming. They conclude by presenting their ongoing and future work on LocalSolver toward a full mathematical programming solver based on local search.

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Lee Odden Optimize. How to Attract and Engage More Customers by Integrating SEO, Social Media, and Content Marketing


Attract, engage, and inspire your customers with an «Optimize and Socialize» content marketing strategy Optimize is designed to give readers a practical approach to integrating search and social media optimization with content marketing to boost relevance, visibility, and customer engagement. Companies, large and small, will benefit from the practical planning and creative content marketing tactics in this book that have been proven to increase online performance across marketing, public relations, and customer service. Learn to incorporate essential content optimization and social media engagement principles thereby increasing their ability to acquire and engage relevant customers online. Optimize provides insights from Lee Odden, one of the leading authorities on Content and Online Marketing. This book explains how to: Create a blueprint for integrated search, social media and content marketing strategy Determine which creative tactics will provide the best results for your company Implement search and social optimization holistically in the organization Measure the business value of optimized and socialized content marketing Develop guidelines, processes and training to scale online marketing success Optimize offers a tested approach for a customer-centric and adaptive online marketing strategy that incorporates the best of content, social media marketing, and search engine optimization tactics.

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Энциклопедия поискового продвижения Ingate


Из этой книги вы узнаете, как превратить поиск «Яндекса» и Google в мощный рекламный канал с помощью технологий SEO (search engine optimization). В книге в доступной форме освещаются принципы работы поисковых систем, подготовка веб-ресурсов, этапы и методы их продвижения в системах. Книга предназначена для веб-мастеров, специалистов по рекламе и маркетингу, владельцев бизнеса, желающих успешно работать и зарабатывать в Интернете.

281 RUR

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Наталия Неелова, Анна Моргачева, Григорий Загребельный, Елена Фролкина, Кирилл Шпорт (0+) Sembook. Энциклопедия поискового продвижения Ingate


Из этой книги вы узнаете, как превратить поиск «Яндекса» и Google в мощный рекламный канал с помощью технологий SEO (search engine optimization). В книге в доступной форме освещаются принципы работы поисковых систем, подготовка веб-ресурсов, этапы и методы их продвижения в системах.

599 RUR

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John Arnold Web Marketing All-in-One For Dummies


Build an online presence for your business with web marketing Why buy several books on web marketing when you can buy just one? With this must-have resource, five marketing professionals team up to share their expertise in the field of web marketing so that you can benefit from their know-how. Covering everything from site building, search engine optimization, and web analytics to online advertising, e-mail marketing, and harnessing the potential of social media, this team of web marketing gurus brings their insight and experience to the table and it's yours for the taking. Provides invaluable advice for establishing a web presence and getting your message out with online advertising Zeroes in on search engine optimization so that your site can be discovered by search engines and, ultimately, consumers Explains how web analytics can offer you a better understanding of your web marketing efforts Details ways to establish an online voice with blogging and podcasting Walks you through the potential of social media marketing with Facebook, Twitter, and Google+ Looks at various options for getting your message onto mobile platforms Web Marketing All in One For Dummies, 2nd Edition shows you how to get your online name out there so that customers can find you easily.

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Xin-She Yang Engineering Optimization. An Introduction with Metaheuristic Applications


An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, Engineering Optimization: An Introduction with Metaheuristic Applications outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insightful examples from various fields of study, the author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms. The author introduces all major metaheuristic algorithms and their applications in optimization through a presentation that is organized into three succinct parts: Foundations of Optimization and Algorithms provides a brief introduction to the underlying nature of optimization and the common approaches to optimization problems, random number generation, the Monte Carlo method, and the Markov chain Monte Carlo method Metaheuristic Algorithms presents common metaheuristic algorithms in detail, including genetic algorithms, simulated annealing, ant algorithms, bee algorithms, particle swarm optimization, firefly algorithms, and harmony search Applications outlines a wide range of applications that use metaheuristic algorithms to solve challenging optimization problems with detailed implementation while also introducing various modifications used for multi-objective optimization Throughout the book, the author presents worked-out examples and real-world applications that illustrate the modern relevance of the topic. A detailed appendix features important and popular algorithms using MATLAB® and Octave software packages, and a related FTP site houses MATLAB code and programs for easy implementation of the discussed techniques. In addition, references to the current literature enable readers to investigate individual algorithms and methods in greater detail. Engineering Optimization: An Introduction with Metaheuristic Applications is an excellent book for courses on optimization and computer simulation at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners working in the fields of mathematics, engineering, computer science, operations research, and management science who use metaheuristic algorithms to solve problems in their everyday work.

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Omid Bozorg-Haddad Meta-heuristic and Evolutionary Algorithms for Engineering Optimization


A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems This book introduces the main metaheuristic algorithms and their applications in optimization. It describes 20 leading meta-heuristic and evolutionary algorithms and presents discussions and assessments of their performance in solving optimization problems from several fields of engineering. The book features clear and concise principles and presents detailed descriptions of leading methods such as the pattern search (PS) algorithm, the genetic algorithm (GA), the simulated annealing (SA) algorithm, the Tabu search (TS) algorithm, the ant colony optimization (ACO), and the particle swarm optimization (PSO) technique. Chapter 1 of Meta-heuristic and Evolutionary Algorithms for Engineering Optimization provides an overview of optimization and defines it by presenting examples of optimization problems in different engineering domains. Chapter 2 presents an introduction to meta-heuristic and evolutionary algorithms and links them to engineering problems. Chapters 3 to 22 are each devoted to a separate algorithm— and they each start with a brief literature review of the development of the algorithm, and its applications to engineering problems. The principles, steps, and execution of the algorithms are described in detail, and a pseudo code of the algorithm is presented, which serves as a guideline for coding the algorithm to solve specific applications. This book: Introduces state-of-the-art metaheuristic algorithms and their applications to engineering optimization; Fills a gap in the current literature by compiling and explaining the various meta-heuristic and evolutionary algorithms in a clear and systematic manner; Provides a step-by-step presentation of each algorithm and guidelines for practical implementation and coding of algorithms; Discusses and assesses the performance of metaheuristic algorithms in multiple problems from many fields of engineering; Relates optimization algorithms to engineering problems employing a unifying approach. Meta-heuristic and Evolutionary Algorithms for Engineering Optimization is a reference intended for students, engineers, researchers, and instructors in the fields of industrial engineering, operations research, optimization/mathematics, engineering optimization, and computer science. OMID BOZORG-HADDAD, PhD, is Professor in the Department of Irrigation and Reclamation Engineering at the University of Tehran, Iran. MOHAMMAD SOLGI, M.Sc., is Teacher Assistant for M.Sc. courses at the University of Tehran, Iran. HUGO A. LOÁICIGA, PhD, is Professor in the Department of Geography at the University of California, Santa Barbara, United States of America.

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7 Mobile-Friendly Navigation Best Practices – BruceClay

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Bruce Sutter Baseball Stats by Baseball Almanac

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Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization. Meta- heuristic and ... Omid Bozorg-Haddad, Mohammad Solgi, Hugo A. Loáiciga.

Meta‐Heuristic and Evolutionary Algorithms for Engineering ...

Sep 8, 2017 ... Omid Bozorg‐Haddad · Mohammad Solgi · Hugo A. Loáiciga ... A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems.

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

Oct 11, 2017 ... It describes 20 leading meta-heuristic and evolutionary algorithms and presents discussions ... Omid Bozorg-Haddad at University of Tehran.

Book: Meta-heuristic and Evolutionary Algorithms for Engineering ...

It describes 20 leading meta-heuristic and evolutionary algorithms and presents ... Omid Bozorg-Haddad ... It is a meta‐heuristic optimization algorithm.

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

Buy Meta-heuristic and Evolutionary Algorithms for Engineering Optimization ... Omid Bozorg-Haddad, PhD, is Professor in the Department of Irrigation and ...

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

Oct 9, 2017 ... Meta-heuristic and Evolutionary Algorithms for Engineering Optimization is ... OMID BOZORG-HADDAD, PhD, is Professor in the Department of ...

Advanced Optimization by Nature-Inspired Algorithms | Omid Bozorg ...

This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms ... Editors: Bozorg-Haddad, Omid (Ed.).

Omid Bozorg-Haddad - Google Scholar Citations

Honey-bees mating optimization (HBMO) algorithm: a new heuristic approach for water resources optimization ... Real-time operation of reservoir system by genetic programming ... Estimation of Muskingum parameter by meta-heuristic algorithms ... Journal of Irrigation and Drainage Engineering 138 (5), 437-444, 2011.

Advanced Optimization by Nature-Inspired Algorithms - SEO Firma

Aug 12, 2017 ... And while in most real-life problems, including engineering problems ... Babak Zolghadr-Asli, Omid Bozorg-Haddad and Xuefeng Chu. 2 ...... All evolutionary and metaheuristic algorithms need some controlling parameters.

Application of Cat Swarm Optimization Algorithm for Optimal Reservoir ...

Journal of Irrigation and Drainage Engineering ... Mahdi Bahrami; Omid Bozorg- Haddad; and Xuefeng Chu, F.ASCE ... In this study, the cat swarm optimization ( CSO) algorithm is applied to determine ... Comparison with the commonly used genetic algorithm (GA) demonstrates the superiority of this metaheuristic algorithm.

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