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003 OCoLC
005 20160527040959.4
006 m o d
007 cr cn|||||||||
008 070806s2001 caua ob 101 0 eng d
019 181087831|a647688642|a795364490|a856961004
020 9781558607347
020 155860734X
020 9780080506876|q(electronic book)
020 0080506879|q(electronic book)
035 (OCoLC)162596067|z(OCoLC)181087831|z(OCoLC)647688642
|z(OCoLC)795364490|z(OCoLC)856961004
037 97080:97080|bElsevier Science & Technology|nhttp://
www.sciencedirect.com
040 OPELS|beng|epn|cOPELS|dOCLCG|dOCLCQ|dN$T|dYDXCP|dIDEBK
|dE7B|dOCLCE|dOCLCQ|dOCLCO|dOCLCQ|dOCLCF|dOCLCO|dOCL
|dOCLCO|dOCLCQ
049 RIDW
050 4 QA402.5|b.F686 2001eb
072 7 COM|x005030|2bisacsh
072 7 COM|x004000|2bisacsh
082 04 006.3|222
090 QA402.5|b.F686 2001eb
245 00 Foundations of genetic algorithms 6 /|cedited by Worthy N.
Martin and William M. Spears.
246 3 Foundations of genetic algorithms six
264 1 San Francisco, Calif. :|bMorgan Kaufmann,|c[2001]
264 4 |c©2001
300 1 online resource (342 pages) :|billustrations.
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
340 |gpolychrome|2rdacc
347 text file|2rdaft
490 1 The Morgan Kaufmann series in evolutionary computation,
|x1081-6593
500 "The 2000 Foundations of Genetic Algorithms (FOGA-6)
workshop was the sixth biennial meeting in this series of
workshops"--Page 1.
504 Includes bibliographical references and indexes.
505 8 Machine generated contents note: Introduction-- Worthy N.
Martin and William M. Spears -- Overcoming Fitness
Barriers in Multi-Modal Search Spaces5 -- Martin J. Oates
and David Come -- N iches in N K -Landscapes27 -- Keith E.
Mathia, Larry J. Eshelman, and J. David Schaffer -- New
Methods for Tunable, Random Landscapes 47 -- R.E. Smith
and J.E. Smith -- Analysis of Recombinative Algorithms on
a Non-Separable Building-Block Problem69 -- Richard A.
Watson -- Direct Statistical Estimation of GA Landscape
Properties 91 -- Colin R. Reeves -- Comparing Population
Mean Curves109 -- B. Naudts and I. Landrieu -- Local
Performance of the ((/(I, () -ES in a Noisy Environment
127 -- Dirk V Arnold and Hans-Georg Beyer -- Recursive
Conditional Scheme Theorem, Convergence and -- Population
Sizing in Genetic Algorithms 143 -- Riccardo Poli --
Towards a Theory of Strong Overgeneral Classifiers 165 --
Tim Kovacs -- Evolutionary Optimization through PAC
Learning 185 -- Forbes J. Burkowski -- Continuous
Dynamical System Models of Steady-State Genetic
Algorithms209 -- Alden H. Wright and Jonathan E. Rowe --
Mutation-Selection Algorithm: A Large Deviation Approach
227 -- Paul Albuquerque and Christian Mazza -- The
Equilibrium and Transient Behavior of Mutation and
Recombination 241 -- William M. Spears -- The Mixing Rate
of Different Crossover Operators 261 -- Adam Prigel-
Bennett -- Dynamic Parameter Control in Simple
Evolutionary Algorithms 275 -- Stefan Droste, Thomas
Jansen, and Ingo Wegener -- Local Search and High
Precision Gray Codes: Convergence Results and
Neighborhoods295 -- Darrell Whitley, Laura Barbulescu, and
Jean-Paul Watson -- Burden and Benefits of Redundancy 313
-- Karsten Weicker and Nicole Weicker -- Author Index 335
-- Key Word Index337.
520 Foundations of Genetic Algorithms, Volume 6 is the latest
in a series of books that records the prestigious
Foundations of Genetic Algorithms Workshops, sponsored and
organised by the International Society of Genetic
Algorithms specifically to address theoretical
publications on genetic algorithms and classifier systems.
Genetic algorithms are one of the more successful machine
learning methods. Based on the metaphor of natural
evolution, a genetic algorithm searches the available
information in any given task and seeks the optimum
solution by replacing weaker populations with stronger
ones. Includes research from academia, government
laboratories, and industry Contains high calibre papers
which have been extensively reviewed Continues the
tradition of presenting not only current theoretical work
but also issues that could shape future research in the
field Ideal for researchers in machine learning,
specifically those involved with evolutionary computation.
588 0 Print version record.
590 eBooks on EBSCOhost|bEBSCO eBook Subscription Academic
Collection - North America
650 0 Genetic algorithms|vCongresses.|0https://id.loc.gov/
authorities/subjects/sh2008117860
650 7 Genetic algorithms.|2fast|0https://id.worldcat.org/fast/
939996
655 4 Electronic books.
655 7 Conference papers and proceedings.|2fast|0https://
id.worldcat.org/fast/1423772
655 7 Conference papers and proceedings.|2lcgft|0https://
id.loc.gov/authorities/genreForms/gf2014026068
700 1 Martin, W. N.|q(Worthy N.)|0https://id.loc.gov/authorities
/names/n87939429
700 1 Spears, William M.,|d1962-|0https://id.loc.gov/authorities
/names/n00003617
711 2 Workshop on Foundations of Genetic Algorithms|0https://
id.loc.gov/authorities/names/no97011820|n(6th :|d2000 :
|cCharlottesville, Va.)
776 08 |iPrint version:|tFoundations of genetic algorithms 6.
|dSan Francisco, Calif. : Morgan Kaufmann, ©2001
|z155860734X|z9781558607347|w(DLC) 2001275761
|w(OCoLC)48163083
776 08 |iOnline version:|tFoundations of genetic algorithms 6.
|dSan Francisco, Calif. : Morgan Kaufmann, ©2001
|w(OCoLC)795364490
830 0 Morgan Kaufmann series in evolutionary computation.|0https
://id.loc.gov/authorities/names/n2001008051|x1081-6593
856 40 |uhttps://rider.idm.oclc.org/login?url=http://
search.ebscohost.com/login.aspx?direct=true&scope=site&
db=nlebk&AN=210504|zOnline eBook. Access restricted to
current Rider University students, faculty, and staff.
856 42 |3Instructions for reading/downloading this eBook|uhttp://
guides.rider.edu/ebooks/ebsco
901 MARCIVE 20231220
948 |d20160615|cEBSCO|tebscoebooksacademic|lridw
994 92|bRID
