Author : A. V. Sebald
Publisher : World Scientific Publishing Company
Page : 0 pages
File Size : 48,38 MB
Release : 1994
Category : Computers
ISBN : 9789810218102
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.
Author : L J Fogel
Publisher : World Scientific
Page : 386 pages
File Size : 39,50 MB
Release : 1994-07-26
Category :
ISBN : 9814550671
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.
Author : William B. Langdon
Publisher : Springer Science & Business Media
Page : 265 pages
File Size : 50,25 MB
Release : 2013-03-09
Category : Computers
ISBN : 3662047268
This is one of the only books to provide a complete and coherent review of the theory of genetic programming (GP). In doing so, it provides a coherent consolidation of recent work on the theoretical foundations of GP. A concise introduction to GP and genetic algorithms (GA) is followed by a discussion of fitness landscapes and other theoretical approaches to natural and artificial evolution. Having surveyed early approaches to GP theory it presents new exact schema analysis, showing that it applies to GP as well as to the simpler GAs. New results on the potentially infinite number of possible programs are followed by two chapters applying these new techniques.
Author : Michael Affenzeller
Publisher : CRC Press
Page : 395 pages
File Size : 19,4 MB
Release : 2009-04-09
Category : Computers
ISBN : 1420011324
Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as a platform for al
Author : Lawrence J. Fogel
Publisher : Mit Press
Page : 488 pages
File Size : 43,86 MB
Release : 1996
Category : Computers
ISBN : 9780262061902
February 29-March 3, 1996, San Diego, California Evolutionary programming, originally conceived by Lawrence J. Fogel in 1960, is a stochastic and optimization method similar to genetic algorithms, but instead emphasizes the behavioral linkage between parents and their offspring, rather than emulating specific genetic operators as observed in nature. Evolutionary Programming V will serve as a reference and forum for researchers investigating applications and theory of evolutionary programming and other related areas in evolutionary and natural computation. Chapters describe original, unpublished research in evolutionary programming, evolution strategies, genetic algorithms and genetic programming, artificial life, cultural algorithms, and other dynamic models that rely on evolutionary principles. Topics include the use of evolutionary simulations in optimization, neural network training and design, automatic control, image processing and other applications, as well as mathematical theory or empirical analysis providing insight into the behavior of such algorithms. Of particular interest are applications of simulated evolution to problems in biology and economics. A Bradfor Book. Complex Adaptive Systems series
Author :
Publisher :
Page : 2166 pages
File Size : 18,60 MB
Release : 1996
Category : American literature
ISBN :
Author : John Robert McDonnell
Publisher : Bradford Book
Page : 844 pages
File Size : 44,31 MB
Release : 1995
Category : Computers
ISBN : 9780262133173
March 1-3, 1995, San Diego, California Evolutionary programming is one of the predominate algorithms withing the rapidly expanding field of evolutionary computation. These edited contributions to the Fourth Annual Conference on Evolutionary Programming are by leading scientists from academia, industry, and defense. The papers describe both the theory and practical application of evolutionary programming, as well as other methods of evolutionary computation including evolution strategies, genetic algorithms, genetic programming, and cultural algorithms. Topics include :- Novel Areas of Evolutionary Programming and Evolution Strategies.- Evolutionary Computation with Medical Applications.- Issues in Evolutionary Optimization Pattern Discovery, Pattern Recognition, and System Identification.- Hierarchical Levels of Learning.- Self-Adaptation in Evolutionary Computation.- Morphogenic Evolutionary Computation.- Issues in Evolutionary Optimization.- Evolutionary Applications to VLSI and Part Placement.- Applications of Evolutionary Computation to Biology and Biochemistry Control.- Applications of Evolutionary Computation.- Genetic and Inductive Logic Programming.- Genetic Neural Networks.- The Future of Evolutionary Computation. A Bradford Book. Complex Adaptive Systems series
Author : Lance D. Chambers
Publisher : CRC Press
Page : 602 pages
File Size : 17,55 MB
Release : 2019-09-17
Category : Mathematics
ISBN : 9781420050080
Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems contains computer-code examples for the development of genetic algorithm systems - compiling them from an array of practitioners in the field. Each contribution of this singular resource includes: unique code segments documentation descripti
Author : Conference on Evolutionary Programming
Publisher :
Page : 208 pages
File Size : 19,27 MB
Release : 1993
Category :
ISBN :
Author : Jörg Biethahn
Publisher : Springer Science & Business Media
Page : 384 pages
File Size : 40,40 MB
Release : 2012-12-06
Category : Business & Economics
ISBN : 3642612172
Evolutionary Algorithms (EA) are powerful search and optimisation techniques inspired by the mechanisms of natural evolution. They imitate, on an abstract level, biological principles such as a population based approach, the inheritance of information, the variation of information via crossover/mutation, and the selection of individuals based on fitness. The most well-known class of EA are Genetic Algorithms (GA), which have received much attention not only in the scientific community lately. Other variants of EA, in particular Genetic Programming, Evolution Strategies, and Evolutionary Programming are less popular, though very powerful too. Traditionally, most practical applications of EA have appeared in the technical sector. Management problems, for a long time, have been a rather neglected field of EA-research. This is surprising, since the great potential of evolutionary approaches for the business and economics domain was recognised in pioneering publications quite a while ago. John Holland, for instance, in his seminal book Adaptation in Natural and Artificial Systems (The University of Michigan Press, 1975) identified economics as one of the prime targets for a theory of adaptation, as formalised in his reproductive plans (later called Genetic Algorithms).
