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Genetic Programming: On the Programming of Computers by Means of Natural Selection
TLDR
This book discusses the evolution of architecture, primitive functions, terminals, sufficiency, and closure, and the role of representation and the lens effect in genetic programming.Abstract:
Background on genetic algorithms, LISP, and genetic programming hierarchical problem-solving introduction to automatically-defined functions - the two-boxes problem problems that straddle the breakeven point for computational effort Boolean parity functions determining the architecture of the program the lawnmower problem the bumblebee problem the increasing benefits of ADFs as problems are scaled up finding an impulse response function artificial ant on the San Mateo trail obstacle-avoiding robot the minesweeper problem automatic discovery of detectors for letter recognition flushes and four-of-a-kinds in a pinochle deck introduction to biochemistry and molecular biology prediction of transmembrane domains in proteins prediction of omega loops in proteins lookahead version of the transmembrane problem evolutionary selection of the architecture of the program evolution of primitives and sufficiency evolutionary selection of terminals evolution of closure simultaneous evolution of architecture, primitive functions, terminals, sufficiency, and closure the role of representation and the lens effect Appendices: list of special symbols list of special functions list of type fonts default parameters computer implementation annotated bibliography of genetic programming electronic mailing list and public repositoryread more
Citations
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Journal ArticleDOI
Rapid and quantitative detection of the microbial spoilage of muscle foods: current status and future trends.
David I. Ellis,Royston Goodacre +1 more
TL;DR: Ellis, D. I., Goodacre, R. (2001), Rapid and quantitative detection of the microbial spoilage of muscle foods: current status and future trends as mentioned in this paper, 12, (11), 414-424.
Proceedings ArticleDOI
A study of the uniqueness of source code
Mark Gabel,Zhendong Su +1 more
TL;DR: The first study of the uniqueness of source code is presented, examining a collection of 6,000 software projects and measuring the degree to which each project can be `assembled' solely from portions of this corpus, thus providing a precise measure of `uniqueness' that is called syntactic redundancy.
Journal ArticleDOI
Economic dispatch of generators with prohibited operating zones: a genetic algorithm approach
S.O. Orero,Malcolm R. Irving +1 more
TL;DR: The work explores the use of a genetic algorithm for the solution of an economic dispatch problem in power systems where some of the units have prohibited operating zones and demonstrates that the genetic algorithm can be applied successfully in the solutionof problems represented with nonconvex functions.
Journal ArticleDOI
A comparison of bloat control methods for genetic programming
Sean Luke,Liviu Panait +1 more
TL;DR: This article augment depth limiting with nine bloat control methods and compares them with one another, identifying where each bloat Control method performs well on a per-problem basis, and under what settings various methods are effective independent of problem.
Book ChapterDOI
Hybrid Evolutionary Algorithms: Methodologies, Architectures, and Reviews
Crina Grosan,Ajith Abraham +1 more
TL;DR: The need for hybrid evolutionary algorithms is emphasized and the various possibilities for hybridization of an evolutionary algorithm are illustrated and some of the generic hybrid evolutionary architectures that has evolved during the last couple of decades are presented.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Journal ArticleDOI
Optimization by Simulated Annealing
TL;DR: There is a deep and useful connection between statistical mechanics and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters), and a detailed analogy with annealing in solids provides a framework for optimization of very large and complex systems.
Book ChapterDOI
Learning internal representations by error propagation
TL;DR: This chapter contains sections titled: The Problem, The Generalized Delta Rule, Simulation Results, Some Further Generalizations, Conclusion.
Book
Ecological Diversity and its Measurement
TL;DR: In this paper, the authors define definitions of diversity and apply them to the problem of measuring species diversity, choosing an index and interpreting diversity measures, and applying them to structural and structural diversity.
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The perception: a probabilistic model for information storage and organization in the brain
TL;DR: The second and third questions are still subject to a vast amount of speculation, and where the few relevant facts currently supplied by neurophysiology have not yet been integrated into an acceptable theory as mentioned in this paper.