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Advances and Trends in Genetic Programming

Advances and Trends in Genetic Programming
Volume 1: Classification Techniques and Life Cycles

by Arpit Bhardwaj,Aruna Tiwari,Jasjit S. Suri

  • Publisher : Academic Press
  • Release : 2021-03-01
  • Pages : 220
  • ISBN : 0128182431
  • Language : En, Es, Fr & De
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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

Meta-Heuristics

Meta-Heuristics
Advances and Trends in Local Search Paradigms for Optimization

by Stefan Voß,Silvano Martello,Ibrahim H. Osman,Cathérine Roucairol

  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • Pages : 511
  • ISBN : 1461557755
  • Language : En, Es, Fr & De
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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
Emerging Research and Opportunities

by Hrnjica, Bahrudin,Danandeh Mehr, Ali

  • Publisher : IGI Global
  • Release : 2018-07-06
  • Pages : 310
  • ISBN : 1522560068
  • Language : En, Es, Fr & De
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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
32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Graz, Austria, July 9–11, 2019, Proceedings

by Franz Wotawa,Gerhard Friedrich,Ingo Pill,Roxane Koitz-Hristov,Moonis Ali

  • Publisher : Springer
  • Release : 2019-06-28
  • Pages : 865
  • ISBN : 3030229998
  • Language : En, Es, Fr & De
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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.

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

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

by Yin, Peng-Yeng

  • Publisher : IGI Global
  • Release : 2012-03-31
  • Pages : 445
  • ISBN : 1466602716
  • Language : En, Es, Fr & De
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"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
34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, Kuala Lumpur, Malaysia, July 26–29, 2021, Proceedings, Part II

by Hamido Fujita

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 3030794636
  • Language : En, Es, Fr & De
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Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices

Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices
34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, Kuala Lumpur, Malaysia, July 26–29, 2021, Proceedings, Part I

by Hamido Fujita

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 3030794571
  • Language : En, Es, Fr & De
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Handbook of Research on Trends and Digital Advances in Engineering Geology

Handbook of Research on Trends and Digital Advances in Engineering Geology
A Book

by Ceryan, Nurcihan

  • Publisher : IGI Global
  • Release : 2017-07-12
  • Pages : 765
  • ISBN : 1522527109
  • Language : En, Es, Fr & De
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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
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1998
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Advances and Trends in Optimization with Engineering Applications

Advances and Trends in Optimization with Engineering Applications
A Book

by Tamas Terlaky,Miguel F. Anjos,Shabbir Ahmed

  • Publisher : SIAM
  • Release : 2017-04-26
  • Pages : 730
  • ISBN : 1611974674
  • Language : En, Es, Fr & De
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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.

Advances in Genetic Programming

Advances in Genetic Programming
A Book

by Kenneth L. Kinnear, Jr.,Kenneth E. Kinnear,Peter J. Angeline

  • Publisher : MIT Press
  • Release : 1994
  • Pages : 518
  • ISBN : 9780262111881
  • Language : En, Es, Fr & De
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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.

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

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

by Evangelos Papacostantis

  • Publisher : Unknown Publisher
  • Release : 2013
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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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.

Algorithms—Advances in Research and Application: 2013 Edition

Algorithms—Advances in Research and Application: 2013 Edition
A Book

by Anonim

  • Publisher : ScholarlyEditions
  • Release : 2013-06-21
  • Pages : 961
  • ISBN : 1481684582
  • Language : En, Es, Fr & De
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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/.

Advances and Trends in Structural Engineering, Mechanics and Computation

Advances and Trends in Structural Engineering, Mechanics and Computation
A Book

by Alphose Zingoni

  • Publisher : CRC Press
  • Release : 2010-08-16
  • Pages : 388
  • ISBN : 1000006565
  • Language : En, Es, Fr & De
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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

Recent Advances in Memetic Algorithms

Recent Advances in Memetic Algorithms
A Book

by William E. Hart,Natalio Krasnogor,J.E. Smith

  • Publisher : Springer
  • Release : 2006-06-22
  • Pages : 410
  • ISBN : 3540323635
  • Language : En, Es, Fr & De
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Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems. Memetic algorithms are the subject of intense scientific research and have been successfully applied to a multitude of real-world problems ranging from the construction of optimal university exam timetables, to the prediction of protein structures and the optimal design of space-craft trajectories. This monograph presents a rich state-of-the-art gallery of works on memetic algorithms. Recent Advances in Memetic Algorithms is the first book that focuses on this technology as the central topical matter. This book gives a coherent, integrated view on both good practice examples and new trends including a concise and self-contained introduction to memetic algorithms. It is a necessary read for postgraduate students and researchers interested in recent advances in search and optimization technologies based on memetic algorithms, but can also be used as complement to undergraduate textbooks on artificial intelligence.

Trends and Advances in Information Systems and Technologies

Trends and Advances in Information Systems and Technologies
A Book

by Álvaro Rocha,Hojjat Adeli,Luís Paulo Reis,Sandra Costanzo

  • Publisher : Springer
  • Release : 2018-03-24
  • Pages : 1204
  • ISBN : 3319777033
  • Language : En, Es, Fr & De
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This book includes a selection of papers from the 2018 World Conference on Information Systems and Technologies (WorldCIST'18), held in Naples, Italy on March27-29, 2018. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and the challenges of modern information systems and technologies research together with their technological development and applications. The main topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human–Computer Interaction; J) Ethics, Computers & Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; N) Technologies for Biomedical Applications.

New Trends in Intelligent Software Methodologies, Tools and Techniques

New Trends in Intelligent Software Methodologies, Tools and Techniques
Proceedings of the 17th International Conference SoMeT_18

by H. Fujita,E. Herrera-Viedma

  • Publisher : IOS Press
  • Release : 2018-09-18
  • Pages : 1056
  • ISBN : 1614999007
  • Language : En, Es, Fr & De
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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.

Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends

Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends
New Trends

by Taniar, David,Iwan, Lukman Hakim

  • Publisher : IGI Global
  • Release : 2011-12-31
  • Pages : 465
  • ISBN : 1613504756
  • Language : En, Es, Fr & De
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"This book is an updated look at the state of technology in the field of data mining and analytics offering the latest technological, analytical, ethical, and commercial perspectives on topics in data mining"--Provided by publisher.

Computational Intelligence Assisted Design

Computational Intelligence Assisted Design
In Industrial Revolution 4.0

by Yi Chen,Yun Li

  • Publisher : CRC Press
  • Release : 2018-06-19
  • Pages : 504
  • ISBN : 1351649213
  • Language : En, Es, Fr & De
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Computational Intelligence Assisted Design framework mobilises computational resources, makes use of multiple Computational Intelligence (CI) algorithms and reduces computational costs. This book provides examples of real-world applications of technology. Case studies have been used to show the integration of services, cloud, big data technology and space missions. It focuses on computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation. This book provides readers with wide-scale information on CI paradigms and algorithms, inviting readers to implement and problem solve real-world, complex problems within the CI development framework. This implementation framework will enable readers to tackle new problems without difficulty through a few tested MATLAB source codes

Advances in Computer Vision and Information Technology

Advances in Computer Vision and Information Technology
A Book

by K. V. Kale

  • Publisher : I. K. International Pvt Ltd
  • Release : 2008-01-01
  • Pages : 1688
  • ISBN : 8189866745
  • Language : En, Es, Fr & De
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The latest trends in Information Technology represent a new intellectual paradigm for scientific exploration and visualization of scientific phenomena. The present treatise covers almost all the emerging technologies in the field. Academicians, engineers, industralists, scientists and researchers engaged in teaching, research and development of Computer Science and Information Technology will find the book useful for their future academic and research work. The present treatise comprising 225 articles broadly covers the following topics exhaustively. 01. Advance Networking and Security/Wireless Networking/Cyber Laws 02. Advance Software Computing 03. Artificial Intelligence/Natural Language Processing/ Neural Networks 04. Bioinformatics/Biometrics 05. Data Mining/E-Commerce/E-Learning 06. Image Processing, Content Based Image Retrieval, Medical and Bio-Medical Imaging, Wavelets 07. Information Processing/Audio and Text Processing/Cryptology, Steganography and Digital Watermarking 08. Pattern Recognition/Machine Vision/Image Motion, Video Processing 09. Signal Processing and Communication/Remote Sensing 10. Speech Processing & Recognition, Human Computer Interaction 11. Information and Communication Technology