› › Proceedings Of The Second Annual Conference On Evolutionary Programming

Evolutionary Programming VII

Author : V.W. Porto

Publisher : Springer

Page : 840 pages

File Size : 27,17 MB

Release : 1998-08-05

Category : Computers

ISBN : 9783540648918

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Book Description

This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Evolutionary Programming, EP98, held in San Diego, CA, USA, in March 1998. The volume presents 81 revised full papers selected from an overwhelming number of submissions. The papers are organized in topical sections on economics, emergence and complex systems; issues and innovations in evolutionary computation; applications; evolution-based approaches to engineering design; examining representations and operators; evolutionary computation theory; evolutionary computation and biological modeling; particle swarm; and combinations of evolutionary and neural computation.



Evolutionary Programming - Proceedings Of The 3rd Annual Conference

Author : L J Fogel

Publisher : World Scientific

Page : 386 pages

File Size : 43,77 MB

Release : 1994-07-26

Category :

ISBN : 9814550671

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Book Description

The main topics covered at this conference include evolutionary programming, evolution strategies and genetic algorithms. Specific research articles investigate applications in control, image processing, neural networks, artificial life and theoretical properties of optimization algorithms based on inspirations from biology. This volume provides researchers and graduate students with an update of developments in the field.



Evolutionary Programming IV

Author : John R. McDonnell

Publisher : MIT Press

Page : 840 pages

File Size : 49,73 MB

Release : 1995

Category : Evolutionary programming (Computer science)

ISBN : 9780262133173

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Evolutionary Computation in Practice

Author : Tina Yu

Publisher : Springer Science & Business Media

Page : 328 pages

File Size : 34,57 MB

Release : 2008-01-04

Category : Mathematics

ISBN : 3540757708

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Book Description

This book is loaded with examples in which computer scientists and engineers have used evolutionary computation - programs that mimic natural evolution - to solve many real-world problems. They aren’t abstract, mathematically intensive papers, but accounts of solving important problems, including tips from the authors on how to avoid common pitfalls, maximize the effectiveness and efficiency of the search process, and many other practical suggestions.



Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012

Author : B. V. Babu

Publisher : Springer

Page : 1529 pages

File Size : 39,52 MB

Release : 2014-07-08

Category : Technology & Engineering

ISBN : 8132216024

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Book Description

The present book is based on the research papers presented in the International Conference on Soft Computing for Problem Solving (SocProS 2012), held at JK Lakshmipat University, Jaipur, India. This book provides the latest developments in the area of soft computing and covers a variety of topics, including mathematical modeling, image processing, optimization, swarm intelligence, evolutionary algorithms, fuzzy logic, neural networks, forecasting, data mining, etc. The objective of the book is to familiarize the reader with the latest scientific developments that are taking place in various fields and the latest sophisticated problem solving tools that are being developed to deal with the complex and intricate problems that are otherwise difficult to solve by the usual and traditional methods. The book is directed to the researchers and scientists engaged in various fields of Science and Technology.



Evolutionary Algorithms

Author : Lawrence D. Davis

Publisher : Springer Science & Business Media

Page : 303 pages

File Size : 39,63 MB

Release : 2012-12-06

Category : Computers

ISBN : 1461215420

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Book Description

This IMA Volume in Mathematics and its Applications EVOLUTIONARY ALGORITHMS is based on the proceedings of a workshop that was an integral part of the 1996-97 IMA program on "MATHEMATICS IN HIGH-PERFORMANCE COMPUTING." I thank Lawrence David Davis (Tica Associates), Kenneth De Jong (Computer Science, George Mason University), Michael D. Vose (Computer Science, The University of Tennessee), and L. Darrell Whitley (Computer Science, Colorado State University) for their excellent work in organizing the workshop and for editing the proceedings. Further appreciation is ex tended to Donald G. Truhlar (Chemistry and Supercomputing Institute, University of Minnesota) who was also one of the workshop organizers. In addition, I also take this opportunity to thank the National Science Foundation (NSF), Minnesota Supercomputing Institute (MSI), and the Army Research Office (ARO), whose financial support made the workshop possible. Willard Miller, Jr., Professor and Director v PREFACE The IMA Workshop on Evolutionary Algorithms brought together many of the top researchers working in the area of Evolutionary Com putation for a week of intensive interaction. The field of Evolutionary Computation has developed significantly over the past 30 years and today consists a variety of subfields such as genetic algorithms, evolution strate gies, evolutionary programming, and genetic programming, each with their own algorithmic perspectives and goals.



Applications of Evolutionary Computation

Author : Paul Kaufmann (Computer scientist)

Publisher :

Page : 642 pages

File Size : 40,20 MB

Release : 2019

Category : Evolutionary computation

ISBN : 9783030166939

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Book Description

This book constitutes the refereed proceedings of the 22nd International Conference on Applications of Evolutionary Computation, EvoApplications 2019, held in Leipzig, Germany, in April 2019, co-located with the Evo*2019 events EuroGP, EvoCOP and EvoMUSART. The 44 revised full papers presented were carefully reviewed and selected from 66 submissions. They were organized in topical sections named: Engineering and Real World Applications; Games; General; Image and Signal Processing; Life Sciences; Networks and Distributed Systems; Neuroevolution and Data Analytics; Numerical Optimization: Theory, Benchmarks, and Applications; Robotics. --



Advances in Genetic Programming

Author : Kenneth E. Kinnear (Jr.)

Publisher : MIT Press

Page : 544 pages

File Size : 18,24 MB

Release : 1994

Category : Computers

ISBN : 9780262111881

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Book Description

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.



Genetic Programming III

Author : John R. Koza

Publisher : Morgan Kaufmann

Page : 1516 pages

File Size : 20,4 MB

Release : 1999

Category : Computers

ISBN : 9781558605435

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Book Description

Genetic programming (GP) is a method for getting a computer to solve a problem by telling it what needs to be done instead of how to do it. Koza, Bennett, Andre, and Keane present genetically evolved solutions to dozens of problems of design, control, classification, system identification, and computational molecular biology. Among the solutions are 14 results competitive with human-produced results, including 10 rediscoveries of previously patented inventions.



Genetic Programming and Data Structures

Author : William B. Langdon

Publisher : Springer Science & Business Media

Page : 288 pages

File Size : 43,19 MB

Release : 2012-12-06

Category : Computers

ISBN : 1461557313

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Book Description

Computers that `program themselves' has long been an aim of computer scientists. Recently genetic programming (GP) has started to show its promise by automatically evolving programs. Indeed in a small number of problems GP has evolved programs whose performance is similar to or even slightly better than that of programs written by people. The main thrust of GP has been to automatically create functions. While these can be of great use they contain no memory and relatively little work has addressed automatic creation of program code including stored data. This issue is the main focus of Genetic Programming, and Data Structures: Genetic Programming + Data Structures = Automatic Programming!. This book is motivated by the observation from software engineering that data abstraction (e.g., via abstract data types) is essential in programs created by human programmers. This book shows that abstract data types can be similarly beneficial to the automatic production of programs using GP. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! shows how abstract data types (stacks, queues and lists) can be evolved using genetic programming, demonstrates how GP can evolve general programs which solve the nested brackets problem, recognises a Dyck context free language, and implements a simple four function calculator. In these cases, an appropriate data structure is beneficial compared to simple indexed memory. This book also includes a survey of GP, with a critical review of experiments with evolving memory, and reports investigations of real world electrical network maintenance scheduling problems that demonstrate that Genetic Algorithms can find low cost viable solutions to such problems. Genetic Programming and Data Structures: Genetic Programming + Data Structures = Automatic Programming! should be of direct interest to computer scientists doing research on genetic programming, genetic algorithms, data structures, and artificial intelligence. In addition, this book will be of interest to practitioners working in all of these areas and to those interested in automatic programming.