Advances and Trends in Genetic Programming

Advances and Trends in Genetic Programming
Author: Arpit Bhardwaj,Aruna Tiwari,Jasjit S. Suri
Publsiher: Academic Press
Total Pages: 220
Release: 2021-03-01
ISBN 10: 0128182431
ISBN 13: 9780128182437
Language: EN, FR, DE, ES & NL

Advances and Trends in Genetic Programming Book Review:

Advances and Trends in Genetic Programming, Volume One: Classification Techniques and Life Cycles presents the reader with complete coverage of the most current developments in Genetic Programming for Artificial Intelligence. The book provides a thorough look at classification as a systematic way of predicting class membership for a set of examples or instances using the properties of those examples. Classification arises in a wide variety of real life situations, such as detecting faces from large database, finding vehicles, matching fingerprints and diagnosing medical conditions. A classification algorithm requires huge amount of accuracy and reliability that is very difficult for human programmers. Therefore, there is a need to develop an automated computer-based classification system that can classify the required objects. Presents the latest advances in Genetic Programming for Artificial Intelligence Discusses automated computer-based classification algorithms and systems, including comparison of different types of machine learning and two-class versus multi-class classification Includes discussions of tree-based Genetic Programming, the Intron problem, Dynamic Fitness Evaluation, Crossover and Mutation Operators, and a presentation of an integrated model-based Genetic Programming Algorithm for multi-class classification

Advances in Evolutionary Computing

Advances in Evolutionary Computing
Author: Ashish Ghosh,Shigeyoshi Tsutsui
Publsiher: Springer Science & Business Media
Total Pages: 1006
Release: 2002-11-26
ISBN 10: 9783540433309
ISBN 13: 3540433309
Language: EN, FR, DE, ES & NL

Advances in Evolutionary Computing Book Review:

This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. Around 23 articles deal with various theoretical aspects of EC and 17 articles demonstrate the success of EC methodologies. These articles are written by leading experts of the field from different countries all over the world.

New Trends in Intelligent Software Methodologies Tools and Techniques

New Trends in Intelligent Software Methodologies  Tools and Techniques
Author: H. Fujita,E. Herrera-Viedma
Publsiher: IOS Press
Total Pages: 1056
Release: 2018-09-18
ISBN 10: 1614999007
ISBN 13: 9781614999003
Language: EN, FR, DE, ES & NL

New Trends in Intelligent Software Methodologies Tools and Techniques Book Review:

Knowledge-based systems, fully integrated with software, have become essential enablers for both science and commerce. But current software methodologies, tools and techniques are not robust or reliable enough for the demands of a constantly changing and evolving market, and many promising approaches have proved to be no more than case-oriented methods that are not fully automated. This book presents the proceedings of the 17th international conference on New Trends in Intelligent Software Methodology, Tools and Techniques (SoMeT18) held in Granada, Spain, 26-28 September 2018. The SoMeT conferences provide a forum for the exchange of ideas and experience, foster new directions in software development methodologies and related tools and techniques, and focus on exploring innovations, controversies, and the current challenges facing the software engineering community. The 80 selected papers included here are divided into 13 chapters, and cover subjects as diverse as intelligent software systems; medical informatics and bioinformatics; artificial intelligence techniques; social learning software and sentiment analysis; cognitive systems and neural analytics; and security, among other things. Offering a state-of-the-art overview of methodologies, tools and techniques, this book will be of interest to all those whose work involves the development or application of software.

Recent Advances in Intelligent Paradigms and Applications

Recent Advances in Intelligent Paradigms and Applications
Author: Ajith Abraham
Publsiher: Springer Science & Business Media
Total Pages: 272
Release: 2002-11-26
ISBN 10: 9783790815382
ISBN 13: 3790815381
Language: EN, FR, DE, ES & NL

Recent Advances in Intelligent Paradigms and Applications Book Review:

Digital systems that bring together the computing capacity for processing large bodies of information with the human cognitive capability are called intelligent systems. Building these systems has become one of the great goals of modem technology. This goal has both intellectual and economic incentives. The need for such intelligent systems has become more intense in the face of the global connectivity of the internet. There has become an almost insatiable requirement for instantaneous information and decision brought about by this confluence of computing and communication. This requirement can only be satisfied by the construction of innovative intelligent systems. A second and perhaps an even more significant development is the great advances being made in genetics and related areas of biotechnology. Future developments in biotechnology may open the possibility for the development of a true human-silicon interaction at the micro level, neural and cellular, bringing about a need for "intelligent" systems. What is needed to further the development of intelligent systems are tools to enable the representation of human cognition in a manner that allows formal manipulation. The idea of developing such an algebra goes back to Leibniz in the 17th century with his dream of a calculus ratiocinator. It wasn't until two hundred years later beginning with the work of Boole, Cantor and Frege that a formal mathematical logic for modeling human reasoning was developed. The introduction of the modem digital computer during the Second World War by von Neumann and others was a culmination of this intellectual trend.

Meta Heuristics

Meta Heuristics
Author: Stefan Voß,Silvano Martello,Ibrahim H. Osman,Cathérine Roucairol
Publsiher: Springer Science & Business Media
Total Pages: 511
Release: 2012-12-06
ISBN 10: 1461557755
ISBN 13: 9781461557753
Language: EN, FR, DE, ES & NL

Meta Heuristics Book Review:

Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimizations comprises a carefully refereed selection of extended versions of the best papers presented at the Second Meta-Heuristics Conference (MIC 97). The selected articles describe the most recent developments in theory and applications of meta-heuristics, heuristics for specific problems, and comparative case studies. The book is divided into six parts, grouped mainly by the techniques considered. The extensive first part with twelve papers covers tabu search and its application to a great variety of well-known combinatorial optimization problems (including the resource-constrained project scheduling problem and vehicle routing problems). In the second part we find one paper where tabu search and simulated annealing are investigated comparatively and two papers which consider hybrid methods combining tabu search with genetic algorithms. The third part has four papers on genetic and evolutionary algorithms. Part four arrives at a new paradigm within meta-heuristics. The fifth part studies the behavior of parallel local search algorithms mainly from a tabu search perspective. The final part examines a great variety of additional meta-heuristics topics, including neural networks and variable neighbourhood search as well as guided local search. Furthermore, the integration of meta-heuristics with the branch-and-bound paradigm is investigated.

A Field Guide to Genetic Programming

A Field Guide to Genetic Programming
Author: Anonim
Publsiher: Lulu.com
Total Pages: 233
Release: 2008
ISBN 10: 1409200736
ISBN 13: 9781409200734
Language: EN, FR, DE, ES & NL

A Field Guide to Genetic Programming Book Review:

Genetic programming (GP) is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. Using ideas from natural evolution, GP starts from an ooze of random computer programs, and progressively refines them through processes of mutation and sexual recombination, until high-fitness solutions emerge. All this without the user having to know or specify the form or structure of solutions in advance. GP has generated a plethora of human-competitive results and applications, including novel scientific discoveries and patentable inventions. This unique overview of this exciting technique is written by three of the most active scientists in GP. See www.gp-field-guide.org.uk for more information on the book.

Naval Research Logistics

Naval Research Logistics
Author: Anonim
Publsiher: Unknown
Total Pages: 329
Release: 1987
ISBN 10:
ISBN 13: UOM:39015056647293
Language: EN, FR, DE, ES & NL

Naval Research Logistics Book Review:

Parallel Genetic Algorithms

Parallel Genetic Algorithms
Author: Gabriel Luque,Enrique Alba
Publsiher: Springer Science & Business Media
Total Pages: 172
Release: 2011-06-15
ISBN 10: 3642220835
ISBN 13: 9783642220838
Language: EN, FR, DE, ES & NL

Parallel Genetic Algorithms Book Review:

This book is the result of several years of research trying to better characterize parallel genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers can learn how to solve complex tasks by reducing their high computational times. Dealing with two scientific fields (parallelism and GAs) is always difficult, and the book seeks at gracefully introducing from basic concepts to advanced topics. The presentation is structured in three parts. The first one is targeted to the algorithms themselves, discussing their components, the physical parallelism, and best practices in using and evaluating them. A second part deals with the theory for pGAs, with an eye on theory-to-practice issues. A final third part offers a very wide study of pGAs as practical problem solvers, addressing domains such as natural language processing, circuits design, scheduling, and genomics. This volume will be helpful both for researchers and practitioners. The first part shows pGAs to either beginners and mature researchers looking for a unified view of the two fields: GAs and parallelism. The second part partially solves (and also opens) new investigation lines in theory of pGAs. The third part can be accessed independently for readers interested in applications. The result is an excellent source of information on the state of the art and future developments in parallel GAs.

Advances in Genetic Programming

Advances in Genetic Programming
Author: Kenneth E. Kinnear,William B. Langdon,Lee Spector,Peter J. Angeline,Una-May O'Reilly
Publsiher: MIT Press
Total Pages: 476
Release: 1994
ISBN 10: 9780262194235
ISBN 13: 0262194236
Language: EN, FR, DE, ES & NL

Advances in Genetic Programming Book Review:

Advances in Genetic Programming reports significant results in improving the power of genetic programming, presenting techniques that can be employed immediately in the solution of complex problems in many areas, including machine learning and the simulation of autonomous behavior. Popular languages such as C and C++ are used in manu of the applications and experiments, illustrating how genetic programming is not restricted to symbolic computing languages such as LISP. Researchers interested in getting started in genetic programming will find information on how to begin, on what public-domain code is available, and on how to become part of the active genetic programming community via electronic mail.

Genetically Engineered Crops

Genetically Engineered Crops
Author: National Academies of Sciences, Engineering, and Medicine,Division on Earth and Life Studies,Board on Agriculture and Natural Resources,Committee on Genetically Engineered Crops: Past Experience and Future Prospects
Publsiher: National Academies Press
Total Pages: 606
Release: 2017-01-28
ISBN 10: 0309437385
ISBN 13: 9780309437387
Language: EN, FR, DE, ES & NL

Genetically Engineered Crops Book Review:

Genetically engineered (GE) crops were first introduced commercially in the 1990s. After two decades of production, some groups and individuals remain critical of the technology based on their concerns about possible adverse effects on human health, the environment, and ethical considerations. At the same time, others are concerned that the technology is not reaching its potential to improve human health and the environment because of stringent regulations and reduced public funding to develop products offering more benefits to society. While the debate about these and other questions related to the genetic engineering techniques of the first 20 years goes on, emerging genetic-engineering technologies are adding new complexities to the conversation. Genetically Engineered Crops builds on previous related Academies reports published between 1987 and 2010 by undertaking a retrospective examination of the purported positive and adverse effects of GE crops and to anticipate what emerging genetic-engineering technologies hold for the future. This report indicates where there are uncertainties about the economic, agronomic, health, safety, or other impacts of GE crops and food, and makes recommendations to fill gaps in safety assessments, increase regulatory clarity, and improve innovations in and access to GE technology.

Genetic Programming

Genetic Programming
Author: Wolfgang Banzhaf,Peter Nordin,Robert E. Keller,Frank D. Francone
Publsiher: Springer Science & Business
Total Pages: 470
Release: 1998
ISBN 10: 9781558605107
ISBN 13: 155860510X
Language: EN, FR, DE, ES & NL

Genetic Programming Book Review:

To order this title for shipment to Austria, Germany, or Switzerland, please contact dpunkt verlag directly. "[The authors] have performed a remarkable double service with this excellent book on genetic programming. First, they give an up-to-date view of the rapidly growing field of automatic creation of computer programs by means of evolution and, second, they bring together their own innovative and formidable work on evolution of assembly language machine code and linear genomes." --John R. Koza Since the early 1990s, genetic programming (GP)-a discipline whose goal is to enable the automatic generation of computer programs-has emerged as one of the most promising paradigms for fast, productive software development. GP combines biological metaphors gleaned from Darwin's theory of evolution with computer-science approaches drawn from the field of machine learning to create programs that are capable of adapting or recreating themselves for open-ended tasks. This unique introduction to GP provides a detailed overview of the subject and its antecedents, with extensive references to the published and online literature. In addition to explaining the fundamental theory and important algorithms, the text includes practical discussions covering a wealth of potential applications and real-world implementation techniques. Software professionals needing to understand and apply GP concepts will find this book an invaluable practical and theoretical guide.

Algorithms Advances in Research and Application 2013 Edition

Algorithms   Advances in Research and Application  2013 Edition
Author: Anonim
Publsiher: ScholarlyEditions
Total Pages: 961
Release: 2013-06-21
ISBN 10: 1481684582
ISBN 13: 9781481684583
Language: EN, FR, DE, ES & NL

Algorithms Advances in Research and Application 2013 Edition Book Review:

Algorithms—Advances in Research and Application: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Coloring Algorithm. The editors have built Algorithms—Advances in Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Coloring Algorithm in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Algorithms—Advances in Research and Application: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Artificial Intelligence

Artificial Intelligence
Author: Marco Antonio Aceves-Fernandez
Publsiher: BoD – Books on Demand
Total Pages: 464
Release: 2018-06-27
ISBN 10: 178923364X
ISBN 13: 9781789233643
Language: EN, FR, DE, ES & NL

Artificial Intelligence Book Review:

Artificial intelligence (AI) is taking an increasingly important role in our society. From cars, smartphones, airplanes, consumer applications, and even medical equipment, the impact of AI is changing the world around us. The ability of machines to demonstrate advanced cognitive skills in taking decisions, learn and perceive the environment, predict certain behavior, and process written or spoken languages, among other skills, makes this discipline of paramount importance in today's world. Although AI is changing the world for the better in many applications, it also comes with its challenges. This book encompasses many applications as well as new techniques, challenges, and opportunities in this fascinating area.

Introduction to Evolutionary Computing

Introduction to Evolutionary Computing
Author: A.E. Eiben,J.E. Smith
Publsiher: Springer Science & Business Media
Total Pages: 300
Release: 2007-08-06
ISBN 10: 9783540401841
ISBN 13: 3540401849
Language: EN, FR, DE, ES & NL

Introduction to Evolutionary Computing Book Review:

The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. The book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.

Genetic Programming

Genetic Programming
Author: John R. Koza,John R.. Koza
Publsiher: MIT Press
Total Pages: 819
Release: 1992
ISBN 10: 9780262111706
ISBN 13: 0262111705
Language: EN, FR, DE, ES & NL

Genetic Programming Book Review:

In this ground-breaking book, John Koza shows how this remarkable paradigm works and provides substantial empirical evidence that solutions to a great variety of problems from many different fields can be found by genetically breeding populations of computer programs. Genetic programming may be more powerful than neural networks and other machine learning techniques, able to solve problems in a wider range of disciplines. In this ground-breaking book, John Koza shows how this remarkable paradigm works and provides substantial empirical evidence that solutions to a great variety of problems from many different fields can be found by genetically breeding populations of computer programs. Genetic Programming contains a great many worked examples and includes a sample computer code that will allow readers to run their own programs.In getting computers to solve problems without being explicitly programmed, Koza stresses two points: that seemingly different problems from a variety of fields can be reformulated as problems of program induction, and that the recently developed genetic programming paradigm provides a way to search the space of possible computer programs for a highly fit individual computer program to solve the problems of program induction. Good programs are found by evolving them in a computer against a fitness measure instead of by sitting down and writing them.

Genetic Algorithms in Search Optimization and Machine Learning

Genetic Algorithms in Search  Optimization  and Machine Learning
Author: David Edward Goldberg,David Edward, Goldberg,Goldberg, David Edward Goldberg,Visiting Assistant Professor of History David E Goldberg
Publsiher: Addison-Wesley Professional
Total Pages: 412
Release: 1989
ISBN 10:
ISBN 13: UOM:39015023852034
Language: EN, FR, DE, ES & NL

Genetic Algorithms in Search Optimization and Machine Learning Book Review:

A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.

Optimized Genetic Programming Applications Emerging Research and Opportunities

Optimized Genetic Programming Applications  Emerging Research and Opportunities
Author: Hrnjica, Bahrudin,Danandeh Mehr, Ali
Publsiher: IGI Global
Total Pages: 310
Release: 2018-07-06
ISBN 10: 1522560068
ISBN 13: 9781522560067
Language: EN, FR, DE, ES & NL

Optimized Genetic Programming Applications Emerging Research and Opportunities Book Review:

Data is more valuable than ever in the twenty-first century, and tremendous amounts of data are being generated every second. With a fast-growing information industry, engineers are required to develop new tools and techniques that increase human capabilities of mining useful knowledge from the vast amounts of data. Optimized Genetic Programming Applications: Emerging Research and Opportunities is an essential reference source that explores the concept of genetic programming and its role in managing engineering problems. It also examines genetic programming as a supervised machine learning technique, focusing on implementation and application. As a resource that details both the theoretical aspects and implementation of genetic programming, this book is a useful source for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.

Departments of Labor Health and Human Services Education and related agencies appropriations for 1984

Departments of Labor  Health and Human Services  Education  and related agencies appropriations for 1984
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on the Departments of Labor, Health and Human Services, Education, and Related Agencies
Publsiher: Unknown
Total Pages: 329
Release: 1983
ISBN 10:
ISBN 13: UCAL:B4292862
Language: EN, FR, DE, ES & NL

Departments of Labor Health and Human Services Education and related agencies appropriations for 1984 Book Review:

Advances in Soft Computing

Advances in Soft Computing
Author: Jose M. Benitez,Oscar Cordon,Frank Hoffmann,Rajkumar Roy
Publsiher: Springer Science & Business Media
Total Pages: 385
Release: 2013-03-09
ISBN 10: 1447137442
ISBN 13: 9781447137443
Language: EN, FR, DE, ES & NL

Advances in Soft Computing Book Review:

Soft computing embraces methodologies for the development of intelligent systems that have been successfully applied to a large number of real-word problems. This collection of keynote papers, presented at the 7th On-line World Conference on Soft Computing in Engineering Design and Manufacturing, provides a comprehensive overview of recent advances in fuzzy, neural and evolutionary computing techniques and applications in engineering design and manufacturing. Features: - New and highly advanced research results at the forefront of soft computing in engineering design and manufacturing. - Keynote papers by world-renowned researchers in the field. - A good overview of current soft computing research around the world. A collection of methodologies aimed at researchers and professional design and manufacturing engineers who develop and apply intelligent systems in computer engineering.

Genetic Algorithms Data Structures Evolution Programs

Genetic Algorithms   Data Structures   Evolution Programs
Author: Zbigniew Michalewicz
Publsiher: Springer Science & Business Media
Total Pages: 387
Release: 2013-03-09
ISBN 10: 3662033151
ISBN 13: 9783662033159
Language: EN, FR, DE, ES & NL

Genetic Algorithms Data Structures Evolution Programs Book Review:

Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control. The importance of these techniques is still growing, since evolution programs are parallel in nature, and parallelism is one of the most promising directions in computer science. The book is self-contained and the only prerequisite is basic undergraduate mathematics. This third edition has been substantially revised and extended by three new chapters and by additional appendices containing working material to cover recent developments and a change in the perception of evolutionary computation.