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Functional Linear Genetic Programming


Functional Linear Genetic Programming
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Linear Genetic Programming


Linear Genetic Programming
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Author : Markus F. Brameier
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-02-25

Linear Genetic Programming written by Markus F. Brameier and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-02-25 with Computers categories.


Linear Genetic Programming presents a variant of genetic programming (GP) that evolves imperative computer programs as linear sequences of instructions, in contrast to the more traditional functional expressions or syntax trees. Primary characteristics of linear program structure are exploited to achieve acceleration of both execution time and evolutionary progress. Online analysis and optimization of program code lead to more efficient techniques and contribute to a better understanding of the method and its parameters. In particular, the reduction of structural variation step size and non-effective variations play a key role in finding higher quality and less complex solutions. Typical GP phenomena, such as non-effective code, neutral variations, and code growth are investigated from the perspective of linear GP. This book serves as a reference for researchers; it also contains sufficient introductory material for students and those who are new to the field.



Functional Linear Genetic Programming


Functional Linear Genetic Programming
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Author : Abdolhamid Badiozamani
language : en
Publisher:
Release Date : 2011

Functional Linear Genetic Programming written by Abdolhamid Badiozamani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.


This project combines list-based Genetic Programming (LGP) and a basic programming language to study the effectiveness of automatic arithmetic and Boolean logic discovery. The programming language is designed to be as simple as possible having no more than nine total unary instructions, to reduce the inductive bias present in GA experiments, and instead shift the burden of bias to the training data presented to the system. The goal of the project was to allow for more complex operations to be derived from the nine basic hard-coded instructions of the programming language. The system was able to derive functions several layers removed from the basic instructions. For example, the addition operator was derived based.



Hybrid Self Organizing Modeling Systems


Hybrid Self Organizing Modeling Systems
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Author : Godfrey C Onwubolu
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-06-15

Hybrid Self Organizing Modeling Systems written by Godfrey C Onwubolu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-15 with Mathematics categories.


The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling complex systems. This book clearly presents hybrids of some computational intelligence techniques and GMDH approach.



Variants Of Evolutionary Algorithms For Real World Applications


Variants Of Evolutionary Algorithms For Real World Applications
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Author : Raymond Chiong
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-11-13

Variants Of Evolutionary Algorithms For Real World Applications written by Raymond Chiong and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-13 with Technology & Engineering categories.


Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic problems within acceptable time, EAs have attracted interest from many researchers and practitioners in recent years. This book “Variants of Evolutionary Algorithms for Real-World Applications” aims to promote the practitioner’s view on EAs by providing a comprehensive discussion of how EAs can be adapted to the requirements of various applications in the real-world domains. It comprises 14 chapters, including an introductory chapter re-visiting the fundamental question of what an EA is and other chapters addressing a range of real-world problems such as production process planning, inventory system and supply chain network optimisation, task-based jobs assignment, planning for CNC-based work piece construction, mechanical/ship design tasks that involve runtime-intense simulations, data mining for the prediction of soil properties, automated tissue classification for MRI images, and database query optimisation, among others. These chapters demonstrate how different types of problems can be successfully solved using variants of EAs and how the solution approaches are constructed, in a way that can be understood and reproduced with little prior knowledge on optimisation.



Practical Applications Of Evolutionary Computation To Financial Engineering


Practical Applications Of Evolutionary Computation To Financial Engineering
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Author : Hitoshi Iba
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-02-15

Practical Applications Of Evolutionary Computation To Financial Engineering written by Hitoshi Iba and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-15 with Technology & Engineering categories.


“Practical Applications of Evolutionary Computation to Financial Engineering” presents the state of the art techniques in Financial Engineering using recent results in Machine Learning and Evolutionary Computation. This book bridges the gap between academics in computer science and traders and explains the basic ideas of the proposed systems and the financial problems in ways that can be understood by readers without previous knowledge on either of the fields. To cement the ideas discussed in the book, software packages are offered that implement the systems described within. The book is structured so that each chapter can be read independently from the others. Chapters 1 and 2 describe evolutionary computation. The third chapter is an introduction to financial engineering problems for readers who are unfamiliar with this area. The following chapters each deal, in turn, with a different problem in the financial engineering field describing each problem in detail and focusing on solutions based on evolutionary computation. Finally, the two appendixes describe software packages that implement the solutions discussed in this book, including installation manuals and parameter explanations.



Emerging Intelligent Computing Technology And Applications With Aspects Of Artificial Intelligence


Emerging Intelligent Computing Technology And Applications With Aspects Of Artificial Intelligence
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Author : De-Shuang Huang
language : en
Publisher: Springer
Release Date : 2009-09-19

Emerging Intelligent Computing Technology And Applications With Aspects Of Artificial Intelligence written by De-Shuang Huang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-19 with Computers categories.


The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring - gether researchers and practitioners from both academia and industry to share ideas, problems, and solutions related to the multifaceted aspects of intelligent computing. ICIC 2009, held in Ulsan, Korea, September 16-19, 2009, constituted the 5th - ternational Conference on Intelligent Computing. It built upon the success of ICIC 2008, ICIC 2007, ICIC 2006, and ICIC 2005 held in Shanghai, Qingdao, Kunming, and Hefei, China, 2008, 2007, 2006, and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the p- ture of contemporary intelligent computing techniques as an integral concept that hi- lights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Emerging Intelligent Computing Technology and Applications.” Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.



Advances In Computational Intelligence


Advances In Computational Intelligence
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Author : Hans-Paul Schwefel
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09

Advances In Computational Intelligence written by Hans-Paul Schwefel and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Computers categories.


The 30 coherently written chapters by leading researchers presented in this anthology are devoted to basic results achieved in computational intelligence since 1997. The book provides complete coverage of the core issues in the field, especially in fuzzy logic and control as well as for evolutionary optimization algorithms including genetic programming, in a comprehensive and systematic way. Theoretical and methodological investigations are complemented by prototypic applications for design and management tasks in electrical engineering, mechanical engineering, and chemical engineering. This book will become a valuable source of reference for researchers active in computational intelligence. Advanced students and professionals interested in learning about and applying advanced techniques of computational intelligence will appreciate the book as a useful guide enhanced by numerous examples and applications in a variety of fields.



Software Engineering Perspectives And Application In Intelligent Systems


Software Engineering Perspectives And Application In Intelligent Systems
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Author : Radek Silhavy
language : en
Publisher: Springer
Release Date : 2016-04-26

Software Engineering Perspectives And Application In Intelligent Systems written by Radek Silhavy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-26 with Technology & Engineering categories.


The volume Software Engineering Perspectives and Application in Intelligent Systems presents new approaches and methods to real-world problems, and in particular, exploratory research that describes novel approaches in the field of Software Engineering. Particular emphasis is laid on modern trends in selected fields of interest. New algorithms or methods in a variety of fields are also presented. The 5th Computer Science On-line Conference (CSOC 2016) is intended to provide an international forum for discussions on the latest research results in all areas related to Computer Science. The addressed topics are the theoretical aspects and applications of Computer Science, Artificial Intelligences, Cybernetics, Automation Control Theory and Software Engineering.



Metaheuristic Applications In Structures And Infrastructures


Metaheuristic Applications In Structures And Infrastructures
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Author : Xin-She Yang
language : en
Publisher: Newnes
Release Date : 2013-01-31

Metaheuristic Applications In Structures And Infrastructures written by Xin-She Yang and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-31 with Technology & Engineering categories.


Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low-cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are commonly large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems. This book examines the latest developments of metaheuristics and their applications in structural engineering, construction engineering and earthquake engineering, offering practical case studies as examples to demonstrate real-world applications. Topics cover a range of areas within engineering, including big bang-big crunch approach, genetic algorithms, genetic programming, harmony search, swarm intelligence and some other metaheuristic methods. Case studies include structural identification, vibration analysis and control, topology optimization, transport infrastructure design, design of reinforced concrete, performance-based design of structures and smart pavement management. With its wide range of everyday problems and solutions, Metaheursitic Applications in Structures and Infrastructures can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheuristics, optimization in civil engineering and computational intelligence. - Review of the latest development of metaheuristics in engineering. - Detailed algorithm descriptions with focus on practical implementation. - Uses practical case studies as examples and applications.



Genetic Programming


Genetic Programming
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Author :
language : en
Publisher:
Release Date : 2003

Genetic Programming written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Genetic programming (Computer science) categories.