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Advances and Trends in Genetic Programming

Advances and Trends in Genetic Programming
  • Author : Arpit Bhardwaj,Aruna Tiwari,Jasjit S. Suri
  • Publisher :Unknown
  • Release Date :2021-03-01
  • Total pages :220
  • ISBN : 9780128182437
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Summary : 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

Parallel Genetic Algorithms

Parallel Genetic Algorithms
  • Author : Gabriel Luque,Enrique Alba
  • Publisher :Unknown
  • Release Date :2011-06-15
  • Total pages :172
  • ISBN : 9783642220838
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Summary : 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.

Meta-Heuristics

Meta-Heuristics
  • Author : Stefan Voß,Silvano Martello,Ibrahim H. Osman,Cathérine Roucairol
  • Publisher :Unknown
  • Release Date :2012-12-06
  • Total pages :511
  • ISBN : 9781461557753
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Summary : 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.

Optimized Genetic Programming Applications: Emerging Research and Opportunities

Optimized Genetic Programming Applications: Emerging Research and Opportunities
  • Author : Hrnjica, Bahrudin,Danandeh Mehr, Ali
  • Publisher :Unknown
  • Release Date :2018-07-06
  • Total pages :310
  • ISBN : 9781522560067
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Summary : 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.

Advances and Trends in Artificial Intelligence. From Theory to Practice

Advances and Trends in Artificial Intelligence. From Theory to Practice
  • Author : Franz Wotawa,Gerhard Friedrich,Ingo Pill,Roxane Koitz-Hristov,Moonis Ali
  • Publisher :Unknown
  • Release Date :2019-06-28
  • Total pages :865
  • ISBN : 9783030229993
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Summary : This book constitutes the thoroughly refereed proceedings of the 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, held in Graz, Austria, in July 2019. The 41 full papers and 32 short papers presented were carefully reviewed and selected from 151 submissions. The IEA/AIE 2019 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include engineering, science, industry, automation and robotics, business and finance, medicine and biomedicine, bioinformatics, cyberspace, and human-machine interactions. IEA/AIE 2019 will have a special focus on automated driving and autonomous systems and also contributions dealing with such systems or their verification and validation as well.

A Field Guide to Genetic Programming

A Field Guide to Genetic Programming
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :2008
  • Total pages :233
  • ISBN : 9781409200734
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Summary : 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.

Modeling, Analysis, and Applications in Metaheuristic Computing: Advancements and Trends

Modeling, Analysis, and Applications in Metaheuristic Computing: Advancements and Trends
  • Author : Yin, Peng-Yeng
  • Publisher :Unknown
  • Release Date :2012-03-31
  • Total pages :445
  • ISBN : 9781466602717
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Summary : "This book is a collection of the latest developments, models, and applications within the transdisciplinary fields related to metaheuristic computing, providing readers with insight into a wide range of topics such as genetic algorithms, differential evolution, and ant colony optimization"--Provided by publisher.

Advances and Trends in Artificial Intelligence. From Theory to Practice

Advances and Trends in Artificial Intelligence. From Theory to Practice
  • Author : Hamido Fujita
  • Publisher :Unknown
  • Release Date :2021
  • Total pages :229
  • ISBN : 9783030794637
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Summary :

Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices

Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices
  • Author : Hamido Fujita
  • Publisher :Unknown
  • Release Date :2021
  • Total pages :229
  • ISBN : 9783030794576
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Summary :

Handbook of Research on Trends and Digital Advances in Engineering Geology

Handbook of Research on Trends and Digital Advances in Engineering Geology
  • Author : Ceryan, Nurcihan
  • Publisher :Unknown
  • Release Date :2017-07-12
  • Total pages :765
  • ISBN : 9781522527107
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Summary : Engineering geologists face the task of addressing geological factors that can affect planning with little time and with few resources. A solution is using the right tools to save time searching for answers and devote attention to making critical engineering decisions. The Handbook of Research on Trends and Digital Advances in Engineering Geology is an essential reference source for the latest research on new trends, technology, and computational methods that can model engineering phenomena automatically. Featuring exhaustive coverage on a broad range of topics and perspectives such as acoustic energy, landslide mapping, and natural hazards, this publication is ideally designed for academic scientists, industry and applied researchers, and policy and decision makers seeking current research on new tools to aid in timely decision-making of critical engineering situations.

Genetic Programming

Genetic Programming
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :1998
  • Total pages :229
  • ISBN : UOM:39015043241424
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Summary :

Advances in Genetic Programming

Advances in Genetic Programming
  • Author : Kenneth L. Kinnear, Jr.,Kenneth E. Kinnear,Peter J. Angeline
  • Publisher :Unknown
  • Release Date :1994
  • Total pages :518
  • ISBN : 0262111888
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Summary : 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.

Advances and Trends in Optimization with Engineering Applications

Advances and Trends in Optimization with Engineering Applications
  • Author : Tamas Terlaky,Miguel F. Anjos,Shabbir Ahmed
  • Publisher :Unknown
  • Release Date :2017-04-26
  • Total pages :730
  • ISBN : 9781611974676
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Summary : Optimization is of critical importance in engineering. Engineers constantly strive for the best possible solutions, the most economical use of limited resources, and the greatest efficiency. As system complexity increases, these goals mandate the use of state-of-the-art optimization techniques. In recent years, the theory and methodology of optimization have seen revolutionary improvements. Moreover, the exponential growth in computational power, along with the availability of multicore computing with virtually unlimited memory and storage capacity, has fundamentally changed what engineers can do to optimize their designs. This is a two-way process: engineers benefit from developments in optimization methodology, and challenging new classes of optimization problems arise from novel engineering applications. Advances and Trends in Optimization with Engineering Applications reviews 10 major areas of optimization and related engineering applications, providing a broad summary of state-of-the-art optimization techniques most important to engineering practice. Each part provides a clear overview of a specific area and discusses a range of real-world problems. The book provides a solid foundation for engineers and mathematical optimizers alike who want to understand the importance of optimization methods to engineering and the capabilities of these methods.

Globalization, Biosecurity, and the Future of the Life Sciences

Globalization, Biosecurity, and the Future of the Life Sciences
  • Author : National Research Council,Institute of Medicine,Board on Global Health,Policy and Global Affairs,Development, Security, and Cooperation,Committee on Advances in Technology and the Prevention of Their Application to Next Generation Biowarfare Threats
  • Publisher :Unknown
  • Release Date :2006-06-07
  • Total pages :316
  • ISBN : 0309164753
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Summary : Biomedical advances have made it possible to identify and manipulate features of living organisms in useful ways--leading to improvements in public health, agriculture, and other areas. The globalization of scientific and technical expertise also means that many scientists and other individuals around the world are generating breakthroughs in the life sciences and related technologies. The risks posed by bioterrorism and the proliferation of biological weapons capabilities have increased concern about how the rapid advances in genetic engineering and biotechnology could enable the production of biological weapons with unique and unpredictable characteristics. Globalization, Biosecurity, and the Future of Life Sciences examines current trends and future objectives of research in public health, life sciences, and biomedical science that contain applications relevant to developments in biological weapons 5 to 10 years into the future and ways to anticipate, identify, and mitigate these dangers.

Introduction to Evolutionary Computing

Introduction to Evolutionary Computing
  • Author : Agoston E. Eiben,J.E. Smith
  • Publisher :Unknown
  • Release Date :2013-03-14
  • Total pages :300
  • ISBN : 9783662050941
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Summary : 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.

Algorithms—Advances in Research and Application: 2013 Edition

Algorithms—Advances in Research and Application: 2013 Edition
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :2013-06-21
  • Total pages :961
  • ISBN : 9781481684583
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Summary : 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/.

Genetic Programming - New Approaches and Successful Applications

Genetic Programming - New Approaches and Successful Applications
  • Author : Asa Bensten
  • Publisher :Unknown
  • Release Date :2016-04-01
  • Total pages :298
  • ISBN : 168117264X
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Summary : Genetic programming is a branch of genetic algorithms. The main difference between genetic programming and genetic algorithms is the representation of the solution. Genetic programming creates computer programs in the lisp or scheme computer languages as the solution. Genetic programming is an automatic technique for producing a computer program that solves, or approximately solves, a problem. Genetic programming addresses the challenge of getting a computer to solve a problem without explicitly programming it. This challenge calls for an automatic system whose input is a high-level statement of a problems requirements and whose output is a working program that solves the problem. Genetic programming progressively breeds a population of computer programs over a series of generations by starting with a primordial ooze of thousands of randomly created computer programs and using the Darwinian principle of natural selection, recombination (crossover), mutation, gene duplication, gene deletion, and certain mechanisms of developmental biology. Specifically, genetic programming starts with an initial population of randomly generated computer programs composed of the given primitive functions and terminals. The programs in the population are, in general, of different sizes and shapes. The creation of the initial random population is a blind random search of the space of computer programs composed of the problems available functions and terminals. The aim of Genetic Programming - New Approaches and Successful Applications is to show topical advances in the arena of GP, both the development of new theoretical approaches and the development of applications that have successfully solved different real world problems. The book is mainly aimed at postgraduates, researchers and academics, even though it is hoped that it may be of immense useful to undergraduates who aspire to learn about the leading techniques in genetic programming.

An Introduction to Genetic Algorithms

An Introduction to Genetic Algorithms
  • Author : Melanie Mitchell
  • Publisher :Unknown
  • Release Date :1998
  • Total pages :209
  • ISBN : 0262631857
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Summary : Genetic algorithms : an overview - Genetic algorithms in problem solving - Genetic algorithms in scientific models - Theoretical foundations of genetic algorithms - Implementing a genetic algorithm.

Competitive Co-evolution of Trend Reversal Indicators Using Particle Swarm Optimisation

Competitive Co-evolution of Trend Reversal Indicators Using Particle Swarm Optimisation
  • Author : Evangelos Papacostantis
  • Publisher :Unknown
  • Release Date :2013
  • Total pages :229
  • ISBN : OCLC:956374276
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Summary : Computational Intelligence has found a challenging testbed for various paradigms in the financial sector. Extensive research has resulted in numerous financial applications using neural networks and evolutionary computation, mainly genetic algorithms and genetic programming. More recent advances in the field of computational intelligence have not yet been applied as extensively or have not become available in the public domain, due to the confidentiality requirements of financial institutions. This study investigates how co-evolution together with the combination of par- ticle swarm optimisation and neural networks could be used to discover competitive security trading agents that could enable the timing of buying and selling securities to maximise net profit and minimise risk over time. The investigated model attempts to identify security trend reversals with the help of technical analysis methodologies. Technical market indicators provide the necessary market data to the agents and reflect information such as supply, demand, momentum, volatility, trend, sentiment and retracement. All this is derived from the security price alone, which is one of the strengths of technical analysis and the reason for its use in this study. The model proposed in this thesis evolves trading strategies within a single pop- ulation of competing agents, where each agent is represented by a neural network. The population is governed by a competitive co-evolutionary particle swarm optimi- sation algorithm, with the objective of optimising the weights of the neural networks. A standard feed forward neural network architecture is used, which functions as a market trend reversal confidence. Ultimately, the neural network becomes an amal- gamation of the technical market indicators used as inputs, and hence is capable of detecting trend reversals. Timely trading actions are derived from the confidence output, by buying and short selling securities when the price is expected to rise or fall respectively. No expert trading knowledge is presented to the model, only the technical market indicator data. The co-evolutionary particle swarm optimisation model facilitates the discovery of favourable technical market indicator interpretations, starting with zero knowledge. A competitive fitness function is defined that allows the evaluation of each solution relative to other solutions, based on predefined performance metric objectives. The relative fitness function in this study considers net profit and the Sharpe ratio as a risk measure. For the purposes of this study, the stock prices of eight large market capitalisation companies were chosen. Two benchmarks were used to evaluate the discovered trading agents, consisting of a Bollinger Bands/Relative Strength Index rule-based strategy and the popular buy-and-hold strategy. The agents that were discovered from the proposed hybrid computational intelligence model outperformed both benchmarks by producing higher returns for in-sample and out-sample data at a low risk. This indicates that the introduced model is effective in finding favourable strategies, based on observed historical security price data. Transaction costs were considered in the evaluation of the computational intelligent agents, making this a feasible model for a real-world application. Copyright.

Search Methodologies

Search Methodologies
  • Author : Edmund K. Burke,Graham Kendall
  • Publisher :Unknown
  • Release Date :2013-10-18
  • Total pages :716
  • ISBN : 9781461469407
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Summary : The first edition of Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques was originally put together to offer a basic introduction to the various search and optimization techniques that students might need to use during their research, and this new edition continues this tradition. Search Methodologies has been expanded and brought completely up to date, including new chapters covering scatter search, GRASP, and very large neighborhood search. The chapter authors are drawn from across Computer Science and Operations Research and include some of the world’s leading authorities in their field. The book provides useful guidelines for implementing the methods and frameworks described and offers valuable tutorials to students and researchers in the field. “As I embarked on the pleasant journey of reading through the chapters of this book, I became convinced that this is one of the best sources of introductory material on the search methodologies topic to be found. The book’s subtitle, “Introductory Tutorials in Optimization and Decision Support Techniques”, aptly describes its aim, and the editors and contributors to this volume have achieved this aim with remarkable success. The chapters in this book are exemplary in giving useful guidelines for implementing the methods and frameworks described.” Fred Glover, Leeds School of Business, University of Colorado Boulder, USA “[The book] aims to present a series of well written tutorials by the leading experts in their fields. Moreover, it does this by covering practically the whole possible range of topics in the discipline. It enables students and practitioners to study and appreciate the beauty and the power of some of the computational search techniques that are able to effectively navigate through search spaces that are sometimes inconceivably large. I am convinced that this second edition will build on the success of the first edition and that it will prove to be just as popular.” Jacek Blazewicz, Institute of Computing Science, Poznan University of Technology and Institute of Bioorganic Chemistry, Polish Academy of Sciences

Advances and Trends in Structural Engineering, Mechanics and Computation

Advances and Trends in Structural Engineering, Mechanics and Computation
  • Author : Alphose Zingoni
  • Publisher :Unknown
  • Release Date :2010-08-16
  • Total pages :388
  • ISBN : 9781000006568
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Summary : Advances and Trends in Structural Engineering, Mechanics and Computation features over 300 papers classified into 21 sections, which were presented at the Fourth International Conference on Structural Engineering, Mechanics and Computation (SEMC 2010, Cape Town, South Africa, 6-8 September 2010). The SEMC conferences have been held every 3 years in