Open AccessBook
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
Hybrid soft computing systems: industrial and commercial applications
TL;DR: In this article, a collection of methods and tools that can be used to perform diagnostics, estimation, and control of industrial equipment, freight train control, and residential property valuation are presented.
Journal ArticleDOI
A hierarchical clustering methodology based on genetic programming for the solution of simple cell-formation problems
Christos Dimopoulos,N. Mort +1 more
TL;DR: In this paper the use of genetic programming for the solution of a simple version of the problem of identifying machine cells and corresponding part families in cellular manufacturing is investigated.
Journal ArticleDOI
Identification of fuzzy models of software cost estimation
Zhiwei Xu,Taghi M. Khoshgoftaar +1 more
TL;DR: This work presents an innovative fuzzy identification cost estimation modeling technique to deal with linguistic data, and automatically generate fuzzy membership functions and rules, and observed that the fuzzy identification model provided significantly better cost estimations than the three COCOMO models.
Journal ArticleDOI
Genetic Algorithms in Control Systems Engineering
TL;DR: The versatile and robust qualities of genetic algorithms are reviewed and their relevance for control systems engineering is highlighted.
Book
Parsing the Turing Test: Philosophical and Methodological Issues in the Quest for the Thinking Computer
TL;DR: Parsing the Turing Test as mentioned in this paper is a landmark exploration of both the philosophical and methodological issues surrounding the search for true artificial intelligence, including whether computers and robots ever think and communicate the way humans do.
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.