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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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Kwang Lee Y. Modern Heuristic Optimization Techniques


This book explores how developing solutions with heuristic tools offers two major advantages: shortened development time and more robust systems. It begins with an overview of modern heuristic techniques and goes on to cover specific applications of heuristic approaches to power system problems, such as security assessment, optimal power flow, power system scheduling and operational planning, power generation expansion planning, reactive power planning, transmission and distribution planning, network reconfiguration, power system control, and hybrid systems of heuristic methods.

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Mike Cheung W.-L. Meta-Analysis. A Structural Equation Modeling Approach


Presents a novel approach to conducting meta-analysis using structural equation modeling. Structural equation modeling (SEM) and meta-analysis are two powerful statistical methods in the educational, social, behavioral, and medical sciences. They are often treated as two unrelated topics in the literature. This book presents a unified framework on analyzing meta-analytic data within the SEM framework, and illustrates how to conduct meta-analysis using the metaSEM package in the R statistical environment. Meta-Analysis: A Structural Equation Modeling Approach begins by introducing the importance of SEM and meta-analysis in answering research questions. Key ideas in meta-analysis and SEM are briefly reviewed, and various meta-analytic models are then introduced and linked to the SEM framework. Fixed-, random-, and mixed-effects models in univariate and multivariate meta-analyses, three-level meta-analysis, and meta-analytic structural equation modeling, are introduced. Advanced topics, such as using restricted maximum likelihood estimation method and handling missing covariates, are also covered. Readers will learn a single framework to apply both meta-analysis and SEM. Examples in R and in Mplus are included. This book will be a valuable resource for statistical and academic researchers and graduate students carrying out meta-analyses, and will also be useful to researchers and statisticians using SEM in biostatistics. Basic knowledge of either SEM or meta-analysis will be helpful in understanding the materials in this book.

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S. Homayouni Mahdi Metaheuristics for Maritime Operations


Metaheuristic Algorithms in Maritime Operations Optimization focuses on the seaside and port side problems regarding the maritime transportation. The book reviews and introduces the most important problems regarding the shipping network design, long-term and short-term scheduling and planning problems in both bulk and container shipping as well as liquid maritime transportation. Application of meta heuristic algorithm is important for these problems, as most of them are hard and time-consuming to be solved optimally.

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Michael Borenstein Introduction to Meta-Analysis


This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis: Outlines the role of meta-analysis in the research process Shows how to compute effects sizes and treatment effects Explains the fixed-effect and random-effects models for synthesizing data Demonstrates how to assess and interpret variation in effect size across studies Clarifies concepts using text and figures, followed by formulas and examples Explains how to avoid common mistakes in meta-analysis Discusses controversies in meta-analysis Features a web site with additional material and exercises A superb combination of lucid prose and informative graphics, written by four of the world’s leading experts on all aspects of meta-analysis. Borenstein, Hedges, Higgins, and Rothstein provide a refreshing departure from cookbook approaches with their clear explanations of the what and why of meta-analysis. The book is ideal as a course textbook or for self-study. My students, who used pre-publication versions of some of the chapters, raved about the clarity of the explanations and examples. David Rindskopf, Distinguished Professor of Educational Psychology, City University of New York, Graduate School and University Center, & Editor of the Journal of Educational and Behavioral Statistics. The approach taken by Introduction to Meta-analysis is intended to be primarily conceptual, and it is amazingly successful at achieving that goal. The reader can comfortably skip the formulas and still understand their application and underlying motivation. For the more statistically sophisticated reader, the relevant formulas and worked examples provide a superb practical guide to performing a meta-analysis. The book provides an eclectic mix of examples from education, social science, biomedical studies, and even ecology. For anyone considering leading a course in meta-analysis, or pursuing self-directed study, Introduction to Meta-analysis would be a clear first choice. Jesse A. Berlin, ScD Introduction to Meta-Analysis is an excellent resource for novices and experts alike. The book provides a clear and comprehensive presentation of all basic and most advanced approaches to meta-analysis. This book will be referenced for decades. Michael A. McDaniel, Professor of Human Resources and Organizational Behavior, Virginia Commonwealth University

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Группа авторов Applications of Modern Heuristic Optimization Methods in Power and Energy Systems

David Marco Universal Meta Data Models


The heart of the book provides the complete set of models that will support most of an organization's core business functions, including universal meta models for enterprise-wide systems, business meta data and data stewardship, portfolio management, business rules, and XML, messaging, and transactions Developers can directly adapt these models to their own businesses, saving countless hours of development time Building effective meta data repositories is complicated and time-consuming, and few IT departments have the necessary expertise to do it right-which is why this book is sure to find a ready audience Begins with a quick overview of the Meta Data Repository Environment and the business uses of meta data, then goes on to describe the technical architecture followed by the detailed models

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Hubert Haddad Rochester Knockings


Strong national historical interest, as well as regional interest, since the novel is set in Rochester, NY, and surrounding areas, and the publisher and translator are both based there. Interesting both as a historical work illuminating some of the workings of the nineteenth-century spiritualist movement, and as an entertaining fiction about human gullibility. Haddad is a perennial best-seller in France, yet only have one other book available in English, Palestine. Perfect for fans (and critics) of Long Island Medium.

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Vanessa Bedjaï-Haddad Darmfood

Guido Knapp Statistical Meta-Analysis with Applications


An accessible introduction to performing meta-analysis across various areas of research The practice of meta-analysis allows researchers to obtain findings from various studies and compile them to verify and form one overall conclusion. Statistical Meta-Analysis with Applications presents the necessary statistical methodologies that allow readers to tackle the four main stages of meta-analysis: problem formulation, data collection, data evaluation, and data analysis and interpretation. Combining the authors' expertise on the topic with a wealth of up-to-date information, this book successfully introduces the essential statistical practices for making thorough and accurate discoveries across a wide array of diverse fields, such as business, public health, biostatistics, and environmental studies. Two main types of statistical analysis serve as the foundation of the methods and techniques: combining tests of effect size and combining estimates of effect size. Additional topics covered include: Meta-analysis regression procedures Multiple-endpoint and multiple-treatment studies The Bayesian approach to meta-analysis Publication bias Vote counting procedures Methods for combining individual tests and combining individual estimates Using meta-analysis to analyze binary and ordinal categorical data Numerous worked-out examples in each chapter provide the reader with a step-by-step understanding of the presented methods. All exercises can be computed using the R and SAS software packages, which are both available via the book's related Web site. Extensive references are also included, outlining additional sources for further study. Requiring only a working knowledge of statistics, Statistical Meta-Analysis with Applications is a valuable supplement for courses in biostatistics, business, public health, and social research at the upper-undergraduate and graduate levels. It is also an excellent reference for applied statisticians working in industry, academia, and government.

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Meta-heuristic and Evolutionary Algorithms for Engineering ...

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization (Wiley Series in Operations Research and Management Science Book 294) (English Edition) eBook: Bozorg-Haddad, Omid, Solgi, Mohammad, Loáiciga, Hugo A.: Amazon.de: Kindle-Shop

Meta-heuristic and Evolutionary Algorithms for Engineering ...

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.

‪Omid Bozorg-Haddad‬ - ‪Google Scholar‬

Omid Bozorg-Haddad. Distinguished Professor of Water Resources, University of Tehran, Tehran, ... Estimation of Muskingum parameter by meta-heuristic algorithms. H Orouji, OB Haddad, E Fallah-Mehdipour, MA Mariño . Proceedings of the ICE-Water Management 166 (6), 315-324, 2012. 99: 2012: MOPSO algorithm and its application in multipurpose multireservoir operations. E Fallah-Mehdipour, OB ...

Meta-heuristic and Evolutionary Algorithms for Engineering ...

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization - Ebook written by Omid Bozorg-Haddad, Mohammad Solgi, Hugo A. Loáiciga. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Meta-heuristic and Evolutionary Algorithms for Engineering Optimization.

Meta-heuristic and Evolutionary Algorithms for Engineering ...

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization is a reference intended for students, engineers, researchers, and instructors in the fields of industrial engineering,...

Omid BOZORG-HADDAD | Distinguished Professor | Ph.D. in ...

Dr. Omid Bozorg-Haddad is a distinguished professor at the University of Tehran, Iran. His teaching and research interests include water resources, energy, and environmental systems analysis,...

Meta‐Heuristic and Evolutionary Algorithms for Engineering ...

Meta‐Heuristic and Evolutionary Algorithms for Engineering Optimization Omid Bozorg‐Haddad University of Tehran, Iran Mohammad Solgi University of Tehran, Iran Hugo A. Loáiciga University of California, Santa Barbara, USA

Meta-heuristic and Evolutionary Algorithms for Engineering ...

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Wiley: Meta-heuristic and Evolutionary Algorithms for ...

Omid Bozorg-Haddad, Mohammad Solgi, Hugo A. Loáiciga. ISBN: 978-1-119-38706-0. 304 pages. September 2017. Description. 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 ...

Omid Bozorg-Haddad, книга Meta-heuristic and Evolutionary ...

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Meta‐Heuristic and Evolutionary Algorithms

Title: Meta-heuristic and evolutionary algorithms for engineering optimization / Omid Bozorg-Haddad, Mohammad Solgi, Hugo A. Loáiciga. Description: Hoboken, NJ : John Wiley & Sons, 2017. | Series: Wiley series in operations research and management science | Includes bibliographical references and index. | Identifiers: LCCN 2017017765 (print) | LCCN 2017026412 (ebook) | ISBN 9781119387077 (pdf ...

Meta‐Heuristic and Evolutionary Algorithms for Engineering ...

Author Bios. 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.

Meta-heuristic and Evolutionary Algorithms for Engineering ...

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization por Omid Bozorg-Haddad, 9781119386995, disponible en Book Depository con envío gratis.

Meta-heuristic and Evolutionary Algorithms for Engineering ...

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization PDF by Bozorg-Haddad Omid Bozorg-Haddad, Solgi Mohammad Solgi, Lo iciga Hugo A. Lo iciga Part of the Wiley Series in Operations Research and Management Science series

Meta-heuristic and Evolutionary Algorithms for Engineering ...

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. Lo??iciga, PhD, is Professor in the Department of Geography at the University of California, Santa Barbara, United States of America.

Meta-heuristic and Evolutionary Algorithms for Engineering ...

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization EPUB by Bozorg-Haddad Omid Bozorg-Haddad, Solgi Mohammad Solgi, Lo iciga Hugo A. Lo iciga Part of the Wiley Series in Operations Research and Management Science series

Omid Bozorg-Haddad | LibraryThing

Omid Bozorg-Haddad Author of Meta-heuristic and evolutionary algorithms for engineering optimization. Members: Reviews: Popularity: Rating: Favorited: Events : 6: 0: 988,911: 0: 0: organize | filter. Works by Omid Bozorg-Haddad. Meta-heuristic and evolutionary algorithms for engineering optimization 4 copies. Advanced Optimization by Nature-Inspired Algorithms 2 copies. Members. Top members ...

Meta-heuristic and Evolutionary Algorithms for Engineering ...

Available in: Hardback. 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...

Meta-heuristic and Evolutionary Algorithms for Engineering ...

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization: Bozorg-Haddad, Omid, Solgi, Mohammad, Loáiciga, Hugo A.: Amazon.nl Selecteer uw cookievoorkeuren We gebruiken cookies en vergelijkbare tools om uw winkelervaring te verbeteren, onze services aan te bieden, te begrijpen hoe klanten onze services gebruiken zodat we verbeteringen kunnen aanbrengen, en om advertenties weer ...

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Dr. Omid Bozorghaddad - دانشگاه تهران

Prof. Omid, Bozorg-Haddad Distinguished Professor in Water Resources Engineering & Management Department of Irrigation & Reclamation Engineering,

Meta-heuristic and evolutionary algorithms for engineering ...

Main Meta-heuristic and evolutionary algorithms for engineering optimization. Meta-heuristic and evolutionary algorithms for engineering optimization Bozorg-Haddad, Omid, Loaiciga, Hugo A., Solgi, Mohammad. Year: 2017. Publisher: John Wiley & Sons. Language: english. Pages: 280 / 292. ISBN 10: 1119387078. ISBN 13: 9781119387053. Series: Wiley series in operations research and management ...

Detailseite - Meta-heuristic and evolutionary algorithms ...

Meta-heuristic and evolutionary algorithms for engineering optimization Omid Bozorg-Haddad, Mohammad Solgi, Hugo A. Loáiciga . Overview of optimization -- Introduction to meta-heuristic and evolutionary algorithms -- Pattern search (PS) -- Genetic algorithm (GA) -- Simulated annealing (SA) -- Tabu search (TS) -- Ant colony optimization (ACO) -- Particle swarm optimization (PSO ...

Meta-heuristic and evolutionary algorithms for engineering ...

Bozorg-Haddad, Omid, 1974-Meta-heuristic and evolutionary algorithms for engineering optimization. Hoboken, NJ : John Wiley & Sons, Inc., 2017 (DLC) 2017017765 (OCoLC)983154558: Material Type: Document, Internet resource: Document Type: Internet Resource, Computer File: All Authors / Contributors: Omid Bozorg-Haddad; Mohammad Solgi; Hugo A Loaiciga

‎Advanced Optimization by Nature-Inspired Algorithms on ...

Omid Bozorg-Haddad. $84.99; $84.99; Publisher Description. This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to ...

BOOK: META-HEURISTIC AND EVOLUTIONARY ALGORITHMS FOR ...

Omid Bozorg-Haddad Hugo Loaiciga This chapter describes differential evolution (DE), which is a parallel direct search method that takes advantage of some features of evolutionary algorithms (EAs).

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Электронная книга: Omid Bozorg-Haddad. Meta-heuristic and ...

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.

Wiley Series in Operations Research and Management 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.

Title Page - Meta-heuristic and Evolutionary Algorithms ...

Meta‐Heuristic and Evolutionary Algorithms for Engineering Optimization Omid Bozorg‐Haddad University of Tehran, Iran Mohammad Solgi University of Tehran, Iran Hugo A. Loáiciga University of California, Santa Barbara, USA - Selection from Meta-heuristic and Evolutionary Algorithms for Engineering Optimization [Book]

(PDF) Groundwater Model Calibration by Meta-Heuristic ...

Groundwater Model Calibration by Meta-Heuristic Algorithms

Advanced Optimization by Nature-Inspired Algorithms : Omid ...

Dr. Omid Bozorg-Haddad is a Professor at the department of irrigation and reclamation engineering, University of Tehran, Iran. His teaching and research interests include water resources and environmental systems analysis, planning, and management as well as application of optimization algorithms in water related systems. He has published more than 100 articles in peer reviewed journals and ...

Meta–heuristic and Evolutionary Algorithms for Engineering ...

Meta–heuristic and Evolutionary Algorithms for Engineering Optimization: Bozorg–Haddad, Omid, Solgi, Mohammad, Loáiciga, Hugo A.: Amazon.com.au: Books

Adaptive Reservoir Operation Rules Under Climatic Change ...

Seifollahi-Aghmiuni S, Bozorg Haddad O, Omid MH, Mariño MA (2013) Effects of pipe roughness uncertainty on water distribution network performance during its operational period. Water Resour Manag 27(5):1581–1599. Article Google Scholar

Meta-heuristic and evolutionary algorithms for engineering ...

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 ...

Meta-heuristic and Evolutionary Algorithms for Engineering ...

Pris: 1159 kr. Inbunden, 2017. Skickas inom 7-10 vardagar. Köp Meta-heuristic and Evolutionary Algorithms for Engineering Optimization av Omid Bozorg-Haddad, Mohammad Solgi, Hugo A Loaiciga på Bokus.com.

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12 Honey‐Bee Mating Optimization - Meta-heuristic and ...

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization by Omid Bozorg-Haddad, Mohammad Solgi, Hugo A. Loáiciga . Get Meta-heuristic and Evolutionary Algorithms for Engineering Optimization now with O’Reilly online learning. O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers. Start your free trial. 12 Honey‐Bee ...

Meta-heuristic and Evolutionary Algorithms for Engineering ...

Meta-heuristic and Evolutionary Algorithms for Engineering Optimization - ISBN: 9781119387060 - (ebook) - von Omid Bozorg-Haddad, Mohammad Solgi, Hugo A. Loáiciga, Verlag: Wiley

CiteSeerX — HBMO IN ENGINEERING OPTIMIZATION

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Over the last decade, evolutionary and meta-heuristic algorithms have been extensively used as search and optimization tools in various problem domains, including science, commerce, and engineering. Their broad applicability, ease of use, and global perspective may be considered as the primary reason for their success.

Meta-heuristic and Evolutionary Algorithms for Engineering ...

Bozorg-Haddad, Omid Meta-heuristic and Evolutionary Algorithms for Engineering Optimization. 142,55€ Lisää ostoskoriin. E-kirja, ePUB, Adobe DRM-suojattu ISBN: 9781119387060 DRM-rajoitukset. Tulostus: 91 sivua ja lisä sivu kertyy joka 8. tunti, ylärajana 91 sivua: Kopioi leikepöydälle: 5 poimintoa : A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a ...

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

Dr. Omid Bozorg-Haddad is a Professor at the department of irrigation and reclamation engineering, University of Tehran, Iran. His teaching and research interests include water resources and environmental systems analysis, planning, and management as well as application of optimization algorithms in water related systems. He has published more than 100 articles in peer reviewed journals and ...

Real-time reservoir operation using data mining techniques ...

Omid Bozorg-Haddad & Mahyar Aboutalebi. Department of Civil Engineering, University of Qom, Qom, Iran. Parisa-Sadat Ashofteh . Department of Geography, University of California, Santa Barbara, CA, 93106, USA. Hugo A. Loáiciga. Authors. Omid Bozorg-Haddad. View author publications. You can also search for this author in PubMed Google Scholar. Mahyar Aboutalebi. View author publications. You ...

‪Mohammad Solgi‬ - ‪Google Scholar‬

O Bozorg‐Haddad, M Solgi, HA Loáiciga Meta‐Heuristic and Evolutionary Algorithms for Engineering Optimization, 249-266 , 0 The system can't perform the operation now.

(PDF) Dynamic penalty function as a strategy in solving ...

233 Q IWA Publishing 2007 Journal of Hydroinformatics | 09.3 | 2007 Dynamic penalty function as a strategy in solving water resources combinatorial optimization problems with honey-bee mating optimization (HBMO) algorithm Omid Bozorg Haddad and Miguel A. Marin˜o ABSTRACT Because of the complexity of some optimization problems, evolutionary and meta-heuristic Omid Bozorg Haddad (corresponding ...

الگوریتم hbmo

Omid Bozorg Haddad, Abbas Afshar, Barry J. Adams, The broad of applicability, ease of use, and global perspective of so-called meta-heuristic algorithms may be considered as the primary reason for their extensive application and success as search and optimization tools in various problem domains.

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Meta-heuristic and evolutionary algorithms for engineering optimization by Bozorg-Haddad, Omid , Solgi, Mohammad , Loaiciga, Hugo A.

Laura Holmes Haddad This Is Cancer

Danai Torrungrueng Meta-Smith Charts and Their Applications

Группа авторов Meta-analysis in Medical Research


This book is a joint package of a practical manual on how to undertake meta-analysis in medicine together with an accompanying CD-ROM. This provides individuals with access to meta-analysis software and the instructions and guidance on how to undertake them. The software package contains a computer program 'Metanalysis' which performs statistical analyses for the meta-analysis. It has some unique features currently not available in other meta-analysis software packages: ability to import graphics into Word, PowerPoint etc Galbraith's plots cumulative meta-analysis number needed to treat publication bias assessment The graphics generated by the software are in a format compatible with Microsoft PowerPoint. Click here to view sample graphics. Order your copy online today!

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Meta-Nanotubes are a new generation of carbon nanotubes (CNTs) which result from the chemical transformation of regular CNTs and their subsequent combination with foreign materials (atoms, molecules, chemical groups, nanocrystals) by various ways such as functionalisation, doping, filling, and substitution. These new nanomaterials exhibit enhanced or new properties, such as reactivity, solubility, and magnetism, which pristine CNTs do not possess. Their many applications include electronic and optoelectronic devices, chemical and biosensors, solar cells, drug delivery, and reinforced glasses and ceramics. Carbon Meta-Nanotubes: Synthesis, Properties and Applications discusses these third generation carbon nanotubes and the unique characteristics they possess. Beginning with a general overview of the subject, this book covers the five main categories of meta-nanotubes, namely: Doped Carbon Nanotubes Functionalised Carbon Nanotubes Decorated or Coated Carbon Nanotubes Filled Carbon Nanotubes Heterogeneous Nanotubes Providing unparalleled coverage of these third generation or meta-nanotubes, and possibilities for future development, this book is essential for anyone working on carbon nanotubes.

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