A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2004; you can also visit the original URL.
The file type is application/pdf.
Filters
Dynamic page based crossover in linear genetic programming
2002
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
Preserved Fulltext
Page-based linear genetic programming (GP) is proposed in which individuals are described in terms of a number of pages. ...
Head-to-head comparison with Tree-structured GP and block-based linear GP indicates that the page-based approach evolves succinct solutions without penalizing generalization ability. ...
Examples include, but are not limited to, genetic algorithms [1] , evolution strategies [2] and genetic programming (GP) [3] . ...
doi:10.1109/tsmcb.2002.999814
pmid:18238136
fatcat:hbidmpa5kfbflini4llosalnky
Crossover context in page-based linear genetic programming
IEEE CCECE2002. Canadian Conference on Electrical and Computer Engineering. Conference Proceedings (Cat. No.02CH37373)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This work explores strategy learning through genetic programming in artificial 'ants' that navigate the San Mateo trail. ...
We investigate several properties of linearly structured (as opposed to typical tree-based) GP including: the significance of simple register based memories, the significance of constraints applied to ...
PAGE BASED LINEAR GP We follow Koza's description of the problem as closely as possible, and we feel a sufficient match between implementations is provided to allow comparison of results. ...
doi:10.1109/ccece.2002.1013046
fatcat:vyczcx7z25gr7jilqpalepsa7q
Riccardo Poli, William B. Langdon, Nicholas F. McPhee: A Field Guide to Genetic Programming
2008
Genetic Programming and Evolvable Machines
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Genetic Programming and Evolvable Machines The latest book on Genetic Programming, Poli, Langdon and McPhee's (with contributions from John R. ...
While the chapter title suggests the focus is on tree-based GP, some linear GP approaches, such as Grammatical Evolution, are also discussed here. ...
doi:10.1007/s10710-008-9073-y
fatcat:dtg3ddvqkfbhbne2rmvdyuglje
Web Usage Mining Using Artificial Ant Colony Clustering and Genetic Programming
[article]
2004
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Other Versions
The 2003 Congress on Evolutionary Computation, 2003. CEC '03.
unpublished
doi:10.1109/cec.2003.1299832 fatcat:cckquncugvhmfbhkapwyrsqxv4
doi:10.1109/cec.2003.1299832 fatcat:cckquncugvhmfbhkapwyrsqxv4
KEYWORDS: Web Usage Mining, Swarm Intelligence, Ant Systems, Stigmergy, Data-Mining, Linear Genetic Programming. ...
In this paper, we propose an ant clustering algorithm to discover Web usage patterns (data clusters) and a linear genetic programming approach to analyze the visitor trends. ...
Linear Genetic Programming (LGP) Linear genetic programming is a variant of the GP technique that acts on linear genomes [3] . ...
arXiv:cs/0412071v1
fatcat:mfvepaqxungdzah4hrkyvrwkc4
A New Multiobjective Genetic Programming for Extraction of Design Information from Non-dominated Solutions
[chapter]
2013
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Page. 17 Page. 18 Page. 19 About Genetic Programming
Proposed GP
Maximization of correlation coefficient 2 2 ) ( ) ( ) )( ( max y y y y y y y y i i i i i i i GP ...
・ It is difficult to reveal non-linear relationship (sin(x1), x1x2, x1/x2) between parametersGenetic programming is one of the evolutionary technique to reveal non-linear relationship ...
doi:10.1007/978-3-642-37140-0_40
fatcat:2f4rg72x6bd63kdi73gl2mjhay
Using plapack: a solid part of the scientific and engineering computation series [Book Review]
2000
IEEE Concurrency
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The library-based approach to programming parallel computers is especially widespread in computational linear algebra. ...
Numerous parallel linear algebra packages exist, all differing in their orientation (a shared or distributed memory model of parallel programming), functionality (using direct or iterative methods, solving ...
The library-based approach to programming parallel computers is especially widespread in computational linear algebra. ...
doi:10.1109/mcc.2000.865886
fatcat:hvdpriupgvaelnbgmdlfqtn37u
Focused Web Crawling Using Decay Concept And Genetic Programming
2011
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Using genetic programming enhances the accuracy of simialrity measurement. This measurement applies to different parts of the web pages including the title and the body. ...
The results show using Genetic programming along the dynamic decay thresholds leads to the best accuracy. ...
M , 2 M ,…, n M ,
GENETIC PROGRAMMING Based on the principle of biological inheritance and evolution, Genetic Programming (GP) is an extension of Genetic Algorithms (GAs), It is a set of artificial intelligence ...
doi:10.5281/zenodo.1248240
fatcat:22tnpwuzjvhevbyohimmagljiy
A Linear Genetic Programming Approach to Intrusion Detection
[chapter]
2003
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Page-based Linear Genetic Programming (GP) is proposed and implemented with two-layer Subset Selection to address a two-class intrusion detection classification problem as defined by the KDD-99 benchmark ...
To this end, a Page-based Linear Genetic Program with Dynamic Subset Selection and Random Subset Selection is proposed. ...
Conclusion A Page-based Linear Genetic Programming system with DSS and RSS was implemented and tested on the KDD'99 benchmark dataset, a problem involving a training dataset of half a million patterns. ...
doi:10.1007/3-540-45110-2_125
fatcat:gf4bjz4p25acpiipkgr35kwtsu
Book reports
1993
Computers and Mathematics with Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The genetic
programming paradigm: Genetically breeding populations of computer programs to solve problems. 11. Genetic
programs in robotics. 12. ...
Genetic algorithm and genetic programming.
9. An introduction to adaptive optimization algorithrm, based on principles of natural evolution. 10. ...
doi:10.1016/0898-1221(93)90315-m
fatcat:tnmkz3axfnekvgr4srsgsivuvy
Page 551 of American Society of Civil Engineers. Collected Journals Vol. 124, Issue 5
[page]
1998
American Society of Civil Engineers. Collected Journals
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
Mathematical Programming
Mathematical programming can be subdivided into linear programming and nonlinear programming. ...
©ASCE, ISSN 0733-9445/98/0005-055 1 —0559/ $8.00 + $.50 per page. ...
Predicate based Algorithm for Malicious Web Page Detection using Genetic Fuzzy Systems and Support Vector Machine
2012
International Journal of Computer Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Thus this is not enough to classify malicious web page from a benign page.
METHODOLOGY This paper proposes a method to find malicious web page using genetically evolved fuzzy rules. ...
Genetic Algorithms are search algorithms based on natural genetics that provide robust search capabilities in complex spaces and thereby offer a valid approach to problems requiring efficient and effective ...
doi:10.5120/5000-7277
fatcat:phjcbdijtnamfbz7blrifnde4q
Learning to Detect Web Spam by Genetic Programming
[chapter]
2010
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This paper proposes to learn a discriminating function to detect web spam by genetic programming. ...
Web spam techniques enable some web pages or sites to achieve undeserved relevance and importance. They can seriously deteriorate search engine ranking results. ...
Learning to Detect Web Spam by Genetic Programming ...
doi:10.1007/978-3-642-14246-8_5
fatcat:ntno4olt6ra45h55xgtha6p7sa
Personalized Course Evolutionary Based on Genetic Algorithm
2014
International Journal of Multimedia and Ubiquitous Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper, we propose genetic programming as a means to automatically generate Computational results, based on historical pricing and transaction volume data, neural networks (8) (13) (1) (6) (15), ...
of genetic. application of FL based tools to GA (with the name of fuzzy genetic algorithms) L. ...
doi:10.14257/ijmue.2014.9.11.25
fatcat:nywooxny5jcmrfzd4qykldxzza
Uniform Linear Transformation with Repair and Alternation in Genetic Programming
[chapter]
2014
Genetic and Evolutionary Computation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Several genetic programming researchers have argued for the utility of genetic operators that act uniformly. ...
ULTRA treats hierarchical programs as linear sequences and includes a repair step to ensure that syntax constraints are satisfied after variation. ...
This material is based upon work supported by the National Science Foundation under Grant No. 1017817. ...
doi:10.1007/978-1-4939-0375-7_8
dblp:conf/gptp/SpectorH13
fatcat:pfgvt3lyazgr7iuicwqorhu23q
Genetic Programming and Evolvable Machines: Five Years of Reviews
2005
Genetic Programming and Evolvable Machines
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Section 2 onwards, updates the statistics on the state of the genetic programming, evolvable hardware and evolvable machines literature and electronic resources. ...
Wong
and Leung's Data Mining Using Grammar Based Genetic Programming and
Applications [10] . 4. ...
[3] . • Three edited collections in MIT press' Advances in Genetic Programming series [4] . • Genetic Programming -An Introduction [5] . ...
doi:10.1007/s10710-005-6165-9
fatcat:6fcqh6fzozaqxfkbxcvxnhqv2u
« Previous
Showing results 1 — 15 out of 111,358 results