Genetic programming : (Record no. 7630)
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000 -LEADER | |
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fixed length control field | 01889nam a22001697a 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220108b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9780262527910 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.3 |
Item number | KOZ |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Koza, John R. |
245 ## - TITLE STATEMENT | |
Title | Genetic programming : |
Remainder of title | on the programming of computers by means of natural selection |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication, distribution, etc. | Cambridge |
Name of publisher, distributor, etc. | The MIT Press |
Date of publication, distribution, etc. | 1992 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 819p. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | "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 of computer programs.<br/><br/>Genetic programming may be more powerful than neural networks and other machine learning techniques, able to solve problems in a wider range of disciplines. 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 of computer programs. Genetic Programming contains a great many worked examples and includes a sample computer code that will allow readers to run their own programs.In getting computers to solve problems without being explicitly programmed, Koza stresses two points: that seemingly different problems from a variety of fields can be reformulated as problems of program induction, and that the recently developed genetic programming paradigm provides a way to search the space of possible computer programs for a highly fit individual computer program to solve the problems of program induction. Good programs are found by evolving them in a computer against a fitness measure instead of by sitting down and writing them.<br/> |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Computer programming |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Genetic programming |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Book |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
9 (RLIN) | 416 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
9 (RLIN) | 6764 |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Total Checkouts | Full call number | Barcode | Date last seen | Date checked out | Price effective from | Koha item type |
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Dewey Decimal Classification | Computer science | Plaksha University Library | Plaksha University Library | 08/01/2022 | TLP Book from Gurgaon | 1 | 006.3 KOZ | 002452 | 09/07/2023 | 20/05/2022 | 08/01/2022 | Book |