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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
The quality of institutions: A genetic programming approach
TL;DR: In this article, the determinants of the quality of institutions using a non-parametric and non-linear approach were analyzed using a Genetic Program (GP) and compared with those employing a parametric perspective (Ordinary Least Square Regression).
Proceedings ArticleDOI
The Door
TL;DR: This work focuses on a door because it links one place to another, and the linking of different places and sharing of places is one of the substantial qualities of network technology.
Journal ArticleDOI
Daily reference evapotranspiration modeling by using genetic programming approach in the Basque Country (Northern Spain)
Jalal Shiri,Jalal Shiri,Ozgur Kisi,Ozgur Kisi,Gorka Landeras,J. J. López,J. J. López,Amir Hossein Nazemi,Amir Hossein Nazemi,L.C.P.M. Stuyt,L.C.P.M. Stuyt +10 more
TL;DR: In this article, a Gene Expression Programming (GEP) approach was used for estimating daily reference evapotranspiration (ET0) in four weather stations in Basque Country (Northern Spain), for a 5-year period (1999-2003).
Journal ArticleDOI
Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming
TL;DR: From the results, it has been found that the proposed GEP-based models use simple linkage functions and are highly reliable for time series prediction of COVID-19 cases in India.
Journal ArticleDOI
Size Fair and Homologous Tree Crossovers for Tree Genetic Programming
TL;DR: Size fair and homologous crossover genetic operators for tree based genetic programming are described and tested and both produce considerably reduced increases in program size and no detrimental effect on GP performance.
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.
Book
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.