- Inbunden (Hardback)
- Antal sidor
- MIT Press
- Koza, John R
- v. 1 On the Programming of Computers by Means of Natural Selection
- 265 x 190 x 50 mm
- Antal komponenter
- 1580 g
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Genetic Programming: v. 1 On the Programming of Computers by Means of Natural Selection
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In this ground-breaking book, John Koza shows how this remarkable paradigm works and provides substantial empirical evidence that solutions to a great variety of problems from many different fields can be found by genetically breeding populations ...
Genetic Programming IV
John R Koza, Martin A Keane, Matthew J Streeter, William Mydlowec, Jessen Yu
Genetic Programming IV: Routine Human-Competitive Machine Intelligence presents the application of GP to a wide variety of problems involving automated synthesis of controllers, circuits, antennas, genetic networks, and metabolic pathways. The boo...
Recensioner i media
The research reported in this book is a tour de force. For the first time, since the idea was bandied about in the '40s and early '50s, we have a non-trivial, nontailored set of examples of automatic programming." John Holland
Bloggat om Genetic Programming: v. 1 On the Programm...
John R. Koza is Consulting Associate Professor in the Computer Science Department at Stanford University.
Pervasiveness of the problem of program induction; introduction to genetic algorithms; the representation problem for genetic algorithms; overview of genetic programming; detailed description of genetic programming; four introductory examples of genetic programming; amount of processing required to solve a problem; non-randomness of genetic programming; symbolic regression - error-driven evolution; control - cost-driven evolution; evolution of emergent behaviour; evolution of subsumption; entropy-driven evolution; evolution of strategy; co-evolution; evolution of classification; iteration, recursion, and setting; evolution of constrained syntactic structures; evolution of building blocks; evolution of hierarchies of building blocks; parallelization of genetic programming; ruggedness of genetic programming; extraneous variables and functions; operational issues; review of genetic programming; comparison with other paradigms; spontaneous emergence of self-replicating and evolutionarily self-improving computer programs. Appendices: computer implementation; problem-specific part of simple LISP code; kernel of the simple LISP code; embellishments to the simple LISP code; streamlined version of EVAL; editor for simplifying S-expressions; testing the simple LISP code; time-saving techniques; list of special symbols; list of special functions.