Population genetics and evolutionary computation: theoretical and practical aspects
Gespeichert in:
1. Verfasser: | |
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Format: | Abschlussarbeit Buch |
Sprache: | English |
Veröffentlicht: |
Linz
Trauner
2005
|
Schriftenreihe: | Schriften der Johannes-Kepler-Universität Linz
Reihe C, Technik und Naturwissenschaften ; 46 |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis Klappentext |
Beschreibung: | IV, 115 S. graph. Darst. |
ISBN: | 3854878230 |
Internformat
MARC
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245 | 1 | 0 | |a Population genetics and evolutionary computation |b theoretical and practical aspects |c Michael Affenzeller |
264 | 1 | |a Linz |b Trauner |c 2005 | |
300 | |a IV, 115 S. |b graph. Darst. | ||
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490 | 1 | |a Schriften der Johannes-Kepler-Universität Linz : Reihe C, Technik und Naturwissenschaften |v 46 | |
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Datensatz im Suchindex
_version_ | 1804133396235943936 |
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adam_text | Ill
List of Tables
7.1
7.2
7.3
7.4
7.5
roulette-wheel, linear-rank resp. random selection
7.6
using either roulette-wheel, linear-rank resp. random as the first
sexual selection step
7.7
dependent of sexual selection (for that tests SASEGASA is run
with
7.8
rithms with single crossover operators as well as with a combi¬
nation of the operators
7.9
crossover operator (OX) with and without mutation
7.10
crossover operator (ERX) with and without mutation
112
7.11
crossover operator (MPX) with and without mutation
7.12
combination of crossover operators (OX, BRX, MPX) with and
without mutation
7.13
with various operators and various number of demes
7.14
crossover operator (OX) using roulette-wheel selection with and
without mutation
7.15
1
and without mutation
7.16
crossover operator (MPX) using roulette-wheel selection with
and without mutation
7.17
different test functions
7.18
brock function in various dimensions
7.19
gin function in various dimensions
7.20
(Sine Root) function in various dimensions
7.21
Griewangk function in various dimensions
7.22
function in various dimensions
Population
Evolutionary Computation
Theoretical and Practical Aspects
Due to their successful implementation in difficult and hard
problems in various fields of theoretical and practical appli¬
cations, the importance and application potential of capable
heuristics has been increasing continuously throughout the
last decades. Particularly Evolutionary Computation concepts
are known to be able to achieve robust and high-quality solu¬
tions to difficult problems. Thanks to the rapidly increasing
computational power available in the last few years, these
methods capture more and more new fields of application
including highly relevant fields like logistics, production plan¬
ning, bio- and chemoinformatics, or data mining issues.
Even if the
model for Evolutionary Algorithms, the technical realization
in the different fields of Evolutionary Computation is highly
simplified.
This book considers recent results of population genetics in
order to present generic extensions to the general concept
of a Genetic Algorithm. Consequently a new model for self-
adaptive selection pressure steering is presented (Offspring
Selection), taking advantage of the interplay between directed
genetic drift and migration, resulting in a new class of Gene¬
tic Algorithms. As a result generic extensions to the general
concepts of Genetic Algorithms are introduced and empirical¬
ly analyzed, which make genetic search more stable in terms
of operators, and allows steering and scaling up of global
solution quality to highest quality regions without using pro¬
blem specific information or local searches. All these newly
introduced methods are brought together generically in the
so called SASEGASA algorithm.
|
any_adam_object | 1 |
author | Affenzeller, Michael |
author_facet | Affenzeller, Michael |
author_role | aut |
author_sort | Affenzeller, Michael |
author_variant | m a ma |
building | Verbundindex |
bvnumber | BV019871259 |
classification_rvk | ST 134 |
ctrlnum | (OCoLC)68629718 (DE-599)BVBBV019871259 |
discipline | Informatik |
format | Thesis Book |
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genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
genre_facet | Hochschulschrift |
id | DE-604.BV019871259 |
illustrated | Illustrated |
indexdate | 2024-07-09T20:08:03Z |
institution | BVB |
isbn | 3854878230 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-013195551 |
oclc_num | 68629718 |
open_access_boolean | |
owner | DE-355 DE-BY-UBR DE-739 DE-N2 DE-83 DE-188 |
owner_facet | DE-355 DE-BY-UBR DE-739 DE-N2 DE-83 DE-188 |
physical | IV, 115 S. graph. Darst. |
publishDate | 2005 |
publishDateSearch | 2005 |
publishDateSort | 2005 |
publisher | Trauner |
record_format | marc |
series | Schriften der Johannes-Kepler-Universität Linz |
series2 | Schriften der Johannes-Kepler-Universität Linz : Reihe C, Technik und Naturwissenschaften |
spelling | Affenzeller, Michael Verfasser aut Population genetics and evolutionary computation theoretical and practical aspects Michael Affenzeller Linz Trauner 2005 IV, 115 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Schriften der Johannes-Kepler-Universität Linz : Reihe C, Technik und Naturwissenschaften 46 Zugl.: Linz, Univ., Habil.-Schr., 2004 Genetischer Algorithmus (DE-588)4265092-6 gnd rswk-swf Populationsgenetik (DE-588)4046804-5 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Populationsgenetik (DE-588)4046804-5 s Genetischer Algorithmus (DE-588)4265092-6 s b DE-604 Schriften der Johannes-Kepler-Universität Linz Reihe C, Technik und Naturwissenschaften ; 46 (DE-604)BV009806089 46 Digitalisierung UBPassau application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=013195551&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Passau application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=013195551&sequence=000002&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
spellingShingle | Affenzeller, Michael Population genetics and evolutionary computation theoretical and practical aspects Schriften der Johannes-Kepler-Universität Linz Genetischer Algorithmus (DE-588)4265092-6 gnd Populationsgenetik (DE-588)4046804-5 gnd |
subject_GND | (DE-588)4265092-6 (DE-588)4046804-5 (DE-588)4113937-9 |
title | Population genetics and evolutionary computation theoretical and practical aspects |
title_auth | Population genetics and evolutionary computation theoretical and practical aspects |
title_exact_search | Population genetics and evolutionary computation theoretical and practical aspects |
title_full | Population genetics and evolutionary computation theoretical and practical aspects Michael Affenzeller |
title_fullStr | Population genetics and evolutionary computation theoretical and practical aspects Michael Affenzeller |
title_full_unstemmed | Population genetics and evolutionary computation theoretical and practical aspects Michael Affenzeller |
title_short | Population genetics and evolutionary computation |
title_sort | population genetics and evolutionary computation theoretical and practical aspects |
title_sub | theoretical and practical aspects |
topic | Genetischer Algorithmus (DE-588)4265092-6 gnd Populationsgenetik (DE-588)4046804-5 gnd |
topic_facet | Genetischer Algorithmus Populationsgenetik Hochschulschrift |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=013195551&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=013195551&sequence=000002&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV009806089 |
work_keys_str_mv | AT affenzellermichael populationgeneticsandevolutionarycomputationtheoreticalandpracticalaspects |