Simulated Evolution and Learning: 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings
Gespeichert in:
| Format: | Tagungsbericht Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2008
|
| Schriftenreihe: | Lecture notes in computer science
5361 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVI, 658 S. 235 mm x 155 mm |
| ISBN: | 9783540896937 |
Internformat
MARC
| LEADER | 00000nam a2200000 cb4500 | ||
|---|---|---|---|
| 001 | BV035181158 | ||
| 003 | DE-604 | ||
| 005 | 20090115 | ||
| 007 | t| | ||
| 008 | 081126s2008 xx |||| 10||| eng d | ||
| 015 | |a 08,N45,0054 |2 dnb | ||
| 016 | 7 | |a 990909204 |2 DE-101 | |
| 020 | |a 9783540896937 |c Pb. : EUR 82.34 (freier Pr.), sfr 128.00 (freier Pr.) |9 978-3-540-89693-7 | ||
| 024 | 3 | |a 9783540896937 | |
| 028 | 5 | 2 | |a 12573189 |
| 035 | |a (OCoLC)276807172 | ||
| 035 | |a (DE-599)DNB990909204 | ||
| 040 | |a DE-604 |b ger |e rakddb | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-706 |a DE-91G |a DE-83 |a DE-11 | ||
| 050 | 0 | |a QA76.9.C65 | |
| 082 | 0 | |a 006.3 |2 22 | |
| 084 | |a DAT 708f |2 stub | ||
| 084 | |a 004 |2 sdnb | ||
| 084 | |a DAT 718f |2 stub | ||
| 084 | |a DAT 717f |2 stub | ||
| 245 | 1 | 0 | |a Simulated Evolution and Learning |b 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings |c Xiaodong Li ... (eds.) |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2008 | |
| 300 | |a XVI, 658 S. |c 235 mm x 155 mm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Lecture notes in computer science |v 5361 | |
| 650 | 4 | |a Adaptives System - Lernendes System - Evolutionärer Algorithmus - Kongress - Melbourne <2008> | |
| 650 | 4 | |a Ameisenalgorithmus - Evolutionärer Algorithmus - Kongress - Melbourne <2008> | |
| 650 | 4 | |a Computersimulation - Lernendes System - Evolutionärer Algorithmus - Kongress - Melbourne <2008> | |
| 650 | 4 | |a Evolutionsstrategie - Kongress - Melbourne <2008> | |
| 650 | 4 | |a Maschinelles Lernen - Soft Computing - Kongress - Melbourne <2008> | |
| 650 | 4 | |a Künstliche Intelligenz | |
| 650 | 4 | |a Artificial intelligence |v Congresses | |
| 650 | 4 | |a Computer simulation |v Congresses | |
| 650 | 4 | |a Evolutionary programming (Computer science) |v Congresses | |
| 650 | 0 | 7 | |a Lernendes System |0 (DE-588)4120666-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Computersimulation |0 (DE-588)4148259-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Ameisenalgorithmus |0 (DE-588)4704280-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Adaptives System |0 (DE-588)4247928-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Evolutionärer Algorithmus |0 (DE-588)4366912-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Soft Computing |0 (DE-588)4455833-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Evolutionsstrategie |0 (DE-588)4015930-9 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |y 2008 |z Melbourne |2 gnd-content | |
| 689 | 0 | 0 | |a Computersimulation |0 (DE-588)4148259-1 |D s |
| 689 | 0 | 1 | |a Lernendes System |0 (DE-588)4120666-6 |D s |
| 689 | 0 | 2 | |a Evolutionärer Algorithmus |0 (DE-588)4366912-8 |D s |
| 689 | 0 | |5 DE-604 | |
| 689 | 1 | 0 | |a Evolutionsstrategie |0 (DE-588)4015930-9 |D s |
| 689 | 1 | |5 DE-604 | |
| 689 | 2 | 0 | |a Ameisenalgorithmus |0 (DE-588)4704280-1 |D s |
| 689 | 2 | 1 | |a Evolutionärer Algorithmus |0 (DE-588)4366912-8 |D s |
| 689 | 2 | |5 DE-604 | |
| 689 | 3 | 0 | |a Adaptives System |0 (DE-588)4247928-9 |D s |
| 689 | 3 | 1 | |a Lernendes System |0 (DE-588)4120666-6 |D s |
| 689 | 3 | 2 | |a Evolutionärer Algorithmus |0 (DE-588)4366912-8 |D s |
| 689 | 3 | |5 DE-604 | |
| 689 | 4 | 0 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 4 | 1 | |a Soft Computing |0 (DE-588)4455833-8 |D s |
| 689 | 4 | |5 DE-604 | |
| 700 | 1 | |a Li, Xiaodong |e Sonstige |4 oth | |
| 711 | 2 | |a SEAL |n 7 |d 2008 |c Melbourne |j Sonstige |0 (DE-588)16150211-8 |4 oth | |
| 830 | 0 | |a Lecture notes in computer science |v 5361 |w (DE-604)BV000000607 |9 5361 | |
| 856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016987916&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-016987916 | |
Datensatz im Suchindex
| _version_ | 1820875105865039872 |
|---|---|
| adam_text |
TABLE OF CONTENTS
EVOLUTIONAR
Y LEARNIN
G
MODELLING BEHAVIOUR CYCLES FOR LIFE-LONG LEARNING IN MOTIVATED
AGENTS 1
KATHRYN MERRICK
BREAKING TH
E SYNAPTIC DOGMA: EVOLVING A NEURO-INSPIRED
DEVELOPMENTAL NETWORK 11
GUL MUHAMMAD KHAN, JULIAN F. MILLER, AND DAVID M. HALLIDAY
A NEW APPROACH T
O ADAPTIN
G CONTROL PARAMETER
S IN DIFFERENTIAL
EVOLUTION ALGORITHM 21
HANG FENG, YIN-FEI YANG, AND YU-XUAN WANG
A NOVEL GENETIC ALGORITHM WITH ORTHOGONAL PREDICTIO
N FOR GLOBAL
NUMERICAL OPTIMIZATION 31
JUN ZHANG, JING-HUI ZHONG, AND XIAO-MIN HU
PHYLOGENY INFERENCE USING A MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM
WITH INDIRECT REPRESENTATION 41
MD. RAFIUL HASSAN, M. MARUF HOSSAIN, C.K. KARMAKAR, AND
MICHAEL KIRLEY
EVOLVED LOOK-UP TABLES FOR SIMULATED DNA CONTROLLED ROBOT
S 51
GARY GREENFIELD
MULTI-OBJECTIVE IMPROVEMENT OF SOFTWARE USING CO-EVOLUTION AN
D
SMART SEEDING 61
ANDREA ARCURI, DAVID ROBERT WHITE, JOHN CLARK, AND XIN YAO
POLICY EVOLUTION WITH GRAMMATICA
L EVOLUTION 71
YOW TZU LIM, PAU CHEN CHENG, JOHN ANDREW CLARK, AND
PANKAJ ROHATGI
A PS
O BASED ADABOOST APPROACH T
O OBJECT DETECTION 81
AMMAR W. MOHEMMED, MENGJIE ZHANG, AND MARK JOHNSTON
ADAPTIV
E NON-UNIFOR
M DISTRIBUTIO
N OF QUANTU
M PARTICLE
S I
N MQS
O .
. 9
1
KRZYSZTOF TROJANOWSKI
GENETICALLY EVOLVED FUZZY RULE-BASED CLASSIFIERS AN
D APPLICATION T
O
AUTOMOTIVE CLASSIFICATION 101
TECK WEE CHUA AND WOEI WAN TAN
IMPROVING XCS PERFORMANCE BY DISTRIBUTIO
N 111
URBAN RICHTER, HOLGER PROTHMANN, AND HARTMUT SCHMECK
BIBLIOGRAFISCHE INFORMATIONEN
HTTP://D-NB.INFO/990909204
DIGITALISIERT DURCH
XI
I TABLE OF CONTENT
S
EVOLVING A
N ENSEMBLE OF NEURAL NETWORKS USING ARTIFICIAL IMMUNE
SYSTEMS 121
BRUNO H.G. BARBOSA, LARA T. BUI, HUSSEIN A. ABBASS,
LUIS A. AGUIRRE, AND ANTONIO P. BRAGA
IMPROVIN
G TH
E PERFORMANC
E AN
D SCALABILIT
Y O
F DIFFERENTIA
L EVOLUTIO
N .
. 13
1
ANTONY W. IORIO AND XIAODONG LI
A FUZZY-GA DECISION SUPPOR
T SYSTEM FOR ENHANCIN
G POSTPONEMEN
T
STRATEGIES IN SUPPLY CHAI
N MANAGEMENT 141
CASSANDRA X.H. TANG AND HENRY C. W. LAU
EVOLUTIONAR
Y OPTIMISATIO
N
SOLVING TH
E DELAY-CONSTRAINED CAPACITATE
D MINIMUM SPANNING TREE
PROBLEM USING A DANDELION-ENCODED EVOLUTIONAR
Y ALGORITHM 151
ANGEL M. PEREZ-BELLIDO, SANCHO SALCEDO-SANZ,
EMILIO G. ORTIZ-GARCIA, ANTONIO PORTILLA-FIGUERAS, AND
MAURIZIO NALDI
GENERALIZED EXTREMA
L OPTIMIZATIO
N FOR SOLVING MULTIPROCESSOR TASK
SCHEDULING PROBLE
M 161
PIOTR SWITALSKI AND FRANCISZEK SEREDYNSKI
IMPROVING NSGA-II ALGORITH
M BASED ON MINIMUM SPANNING TREE 170
MIQING LI, JINHUA ZHENG, AND JUN WU
AN ISLAND BASED HYBRID EVOLUTIONAR
Y ALGORITHM FOR OPTIMIZATIO
N 180
CHANGHE LI AND SHENGXIANG YANG
A PARTICL
E SWARM OPTIMIZATIO
N BASED ALGORITHM FOR FUZZY BILEVEL
DECISION MAKING WIT
H OBJECTIVE-SHARED FOLLOWERS 190
YA GAO, GUANGQUAN ZHANG, AND JIE LU
REFERENCE POINT-BASED PARTICL
E SWARM OPTIMIZATIO
N USING A
STEADY-STAT
E APPROACH 200
RICHARD ALLMENDINGER, XIAODONG LI, AND JUERGEN BRANKE
GENETIC ALGORITHM BASED METHOD
S FOR IDENTIFICATION OF HEALT
H RISK
FACTORS AIMED A
T PREVENTIN
G METABOLIE SYNDROME 210
TOPON KUMAR PAUL, KEN UENO, KOICHIRO IWATA,
TOSHIO HAYASHI, AND NOBUYOSHI HONDA
EXTREMA
L OPTIMISATION AN
D BIN PACKING 220
TIM HENDTLASS AND MARCUS RANDALL
EXTREMA
L OPTIMISATION WITH A PENALT
Y APPROACH FOR TH
E
MULTIDIMENSIONAL KNAPSACK PROBLEM 229
PEDRO GOMEZ-MENESES AND MARCUS RANDALL
TABLE OF CONTENT
S XIII
A GENERATOR FOR MULTIMODAL TEST FUNCTIONS WITH MULTIPLE GLOBAL
OPTIM
A 239
JANI ROENKKOENEN, XIAODONG LI, VILLE KYRKI, AND JOUNI LAMPINEN
CHOOSING LEADERS FOR MULTI-OBJECTIVE PS
O ALGORITHMS USING
DIFFERENTIAL EVOLUTION 249
UPALI WICKRAMASINGHE AND XIAODONG LI
COMPARISON BETWEEN GENETIC ALGORITHM AND GENETIC PROGRAMMING
PERFORMANCE FOR PHOTOMOSAIC GENERATION 259
SHAHRUL BADARIAH MAT SAH, VIC CIESIELSKI, DARYL D'SOUZA, AND
MARSHA BERRY
PARAMETE
R TUNING OF REAL-VALUED CROSSOVER OPERATOR
S FOR STATISTIC
S
PRESERVATION 269
HIROSHI SOMEYA
HYBRID PARTICL
E SWARM OPTIMIZATION BASED ON THERMODYNAMIC
MECHANISM 279
YU WU, YUANXIANG LI, XING XU, AND SHENG PENG
MULTIAGENT EVOLUTIONARY ALGORITHM FOR T-COLORING PROBLEM 289
JING LIU, WEICAI ZHONG, AND JINSHU LI
NON-PHOTOREALISTIC RENDERING USING GENETIC PROGRAMMIN
G 299
PERRY BARILE, VIC CIESIELSKI, AND KAREN TRIST
USE OF LOCAL RANKING IN CELLULAR GENETIC ALGORITHMS WITH TWO
NEIGHBORHOOD STRUCTURE
S 309
HISAO ISHIBUCHI, NORITAKA TSUKAMOTO, AND YUSUKE NOJIMA
INFORMATIO
N THEORETI
C CLASSIFICATIO
N O
F PROBLEM
S FO
R METAHEURISTIC
S .
. 31
9
KENT C.B. STEER, ANDREW WIRTH, AND SAMAN K. HALGARNUGE
TASK DECOMPOSITION FOR OPTIMIZATION PROBLEM SOLVING 329
EHAB Z. ELFEKY, RUHUL A. SARKER, AND DARYL L. ESSAM
DISCUSSION OF SEARCH STRATEG
Y FOR MULTI-OBJECTIVE GENETIC ALGORITHM
WITH CONSIDERATION OF ACCURACY AND BROADNESS OF PARET
O OPTIMA
L
SOLUTIONS 339
TOMOYUKI HIROYASU, MASASHI NISHIOKA, MITSUNORI MIKI. AND,
HISATAKE YOKOUCHI
DISCUSSION OF OFFSPRING GENERATION METHOD FOR INTERACTIVE GENETIC
ALGORITHMS WITH CONSIDERATION OF MULTIMODAL PREFERENCE 349
FUYUKO ITO, TOMOYUKI HIROYASU, MITSUNORI MIKI. AND
HISATAKE YOKOUCHI
XIV TABLE OF CONTENTS
SOLVING VERY DIFFICULT JAPANES
E PUZZLES WIT
H A HYBRID
EVOLUTIONARY-LOGIC ALGORITH
M 360
EMILIO G. ORTIZ-GARCIA, SANCHO SALCEDO-SANZ,
ANGEL M. PEREZ-BELLIDO, ANTONIO PORTILLA-FIGUERAS, AND
XIN YAO
JOIN
T MULTICAST ROUTIN
G AN
D CHANNEL ASSIGNMENT IN MULTIRADI
O
MULTICHANNEL WIRELESS MESH NETWORKS USING SIMULATED ANNEALING 370
HUI CHENG AND SHENGXIANG YANG
GENERAL GAME PLAYING WIT
H ANT
S 381
SHIVEN SHARMA, ZIAD KOBTI, AND SCOTT GOODWIN
A GENERALIZED APPROACH T
O CONSTRUC
T BENCHMARK PROBLEMS FOR
DYNAMIC OPTIMIZATION 391
CHANGHE LI AND SHENGXIANG YANG
A STUD
Y ON TH
E PERFORMANCE OF SUBSTITUT
E DISTANCE BASED APPROACHES
FOR EVOLUTIONARY MANY OBJECTIVE OPTIMIZATIO
N 401
HEMANT K. SINGH, AMITAY ISAACS, TAPABRATA RAY, AND WARREN SMITH
PERFORMANCE EVALUATION OF A
N ADAPTIV
E ANT COLONY OPTIMIZATIO
N
APPLIED T
O SINGLE MACHINE SCHEDULING 411
DAVIDE ANGHINOLFI, ANTONIO BOCCALATTE, MASSIMO PAOLUCCI, AND
CHRISTIAN VECCHIOLA
ROBUST OPTIMIZATION BY E-RANKING ON HIGH DIMENSIONAL OBJECTIVE
SPACES 421
HERNDN AGUIRRE AND KIYOSHI TANAKA
A
N EVOLUTIONAR
Y METHO
D FO
R NATURA
L LANGUAG
E T
O SQ
L TRANSLATIO
N .
. 43
2
ALEXANDRE AFONSO, LEONARDO BRITO, AND OTO VALE
ATTRIBUTE
S OF DYNAMIC COMBINATORIAL OPTIMISATIO
N 442
PHILIPP ROHLFSHAGEN AND XIN YAO
A WEIGHTED LOCAL SHARING TECHNIQUE FOR MULTIMODA
L OPTIMISATION 452
GRANT DICK AND PETER A. WHIGHAM
HYBRI
D LEARNIN
G
HYBRID GENETIC PROGRAMMING FOR OPTIMA
L APPROXIMATION OF HIGH
ORDER AND SPARSE LINEAR SYSTEMS 462
JING LIU, WENLONG FU, AND WEICAI ZHONG
GENETIC VECTOR QUANTIZER DESIGN ON RECONFIGURABLE HARDWARE 473
TING-KUAN HIN, HUI-YA LI, WEN-JYI HWANG, CHIEN-MIN OU, AND
SHENG-KAI WENG
TABLE OF CONTENTS XV
PATTER
N LEARNING AND DECISION MAKING IN A PHOTOVOLTAI
C SYSTEM 483
RONGXIN LI AND PETER WANG
USING NUMERICAL SIMPLIFICATION T
O CONTROL BLOAT IN GENETIC
PROGRAMMIN
G 493
DAVID KINZETT, MENGJIE ZHANG, AND MARK JOHNSTON
HOERN QUERY LEARNING WITH MULTIPLE REFINEMENT 503
JOSEFINA SIERRA AND JOSEFINA SANTIBAENEZ
EVOLVING DIGITAL CIRCUITS IN A
N INDUSTR
Y STANDAR
D HARDWARE DESCRIPTION
LANGUAGE 514
JAMIE GUELLEN
PARAMETERISE
D INDEXED FOR-LOOPS IN GENETIC PROGRAMMIN
G AND
REGULAER BINARY PATTER
N STRINGS 524
GAYAN WIJESINGHE AND VIC CIESIELSKI
HIERARCHICAL FUZZY CONTROL FOR TH
E INVERTED PENDULUM OVER TH
E SET OF
INITIA
L CONDITIONS 534
JULIUSZ ZAJACZKOWSKI AND BRIJESH VERMA
GENETIC PROGRAMMIN
G FOR FEATUR
E RANKING IN CLASSIFICATION PROBLEMS.
. . 544
KOUROSH NESHATIAN, MENGJIE ZHANG, AND PETER ANDREAE
TIME SERIES PREDICTION WITH EVOLVED, COMPOSITE ECHO STAT
E
NETWORKS 555
RUSSELL Y. WEBB
ADAPTIV
E SYSTEM
S
GENETIC SYNTHESIS OF SOFTWARE ARCHITECTURE 565
OUTI RAEIHAE, KAI KOSKIMIES, AND ERKKI MAEKINEN
DUAL PHAS
E EVOLUTION AN
D SELF-ORGANISATION IN NETWORKS 575
GREG PAPERIN, DAVID G. GREEN, AND TANIA G. LEISHMAN
HETEROGENEOUS PAYOFFS AN
D SOCIAL DIVERSITY IN TH
E SPATIAL PRISONER'
S
DILEMMA GAME 585
GOLRIZ REZAEI AND MICHAEL KIRLEY
THEORETICA
L ISSUE
S IN EVOLUTIONAR
Y COMPUTATIO
N
CROSSOVER CAN BE CONSTRUCTIVE WHEN COMPUTING UNIQUE INPU
T OUTPU
T
SEQUENCES 595
PER KRISTIAN LEHRE AND XIN YAO
XVI TABLE OF CONTENT
S
REAL-WORL
D APPLICATION
S OF EVOLUTIONAR
Y
COMPUTATIO
N TECHNIQUE
S
POWER ELECTRONIC CIRCUITS DESIGN: A PARTICL
E SWARM OPTIMIZATIO
N
APPROACH 605
JUN ZHANG, YUAN SHI, AND ZHI-HUI ZHAN
COMPUTATIONA
L INTELLIGENCE IN RADI
O ASTRONOMY: USING COMPUTATIONA
L
INTELLIGENCE TECHNIQUES T
O TUNE GEODESY MODELS 615
DANIEL ANGUS AND ADAM DELLER
AN EFFICIENT HYBRID ALGORITHM FOR OPTIMIZATIO
N OF DISCRETE
STRUCTURE
S 625
AMITAY ISAACS, TAPABRATA RAY, AND WARREN SMITH
EVOLUTIONARY MULTI-OBJECTIVE OPTIMIZATIO
N FOR BIPED WALKING 635
TOSHIHIKO YANASE AND HITOSHI IBA
A METHOD FOR ASSIGNING MEN AN
D WOMEN WITH GOOD AFFINITY T
O
MATCHMAKING PARTIE
S THROUG
H INTERACTIV
E EVOLUTIONAR
Y COMPUTATIO
N .
. 645
SHO KUROIWA, YOSHIHIRO MURATA, TOMOYA KITANI,
KEIICHI YASUMOTO, AND MINORU HO
AUTHOR INDEX
657 |
| adam_txt | |
| any_adam_object | 1 |
| any_adam_object_boolean | |
| building | Verbundindex |
| bvnumber | BV035181158 |
| callnumber-first | Q - Science |
| callnumber-label | QA76 |
| callnumber-raw | QA76.9.C65 |
| callnumber-search | QA76.9.C65 |
| callnumber-sort | QA 276.9 C65 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | SS 4800 |
| classification_tum | DAT 708f DAT 718f DAT 717f |
| ctrlnum | (OCoLC)276807172 (DE-599)DNB990909204 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| format | Conference Proceeding Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 cb4500</leader><controlfield tag="001">BV035181158</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20090115</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">081126s2008 xx |||| 10||| eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">08,N45,0054</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">990909204</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783540896937</subfield><subfield code="c">Pb. : EUR 82.34 (freier Pr.), sfr 128.00 (freier Pr.)</subfield><subfield code="9">978-3-540-89693-7</subfield></datafield><datafield tag="024" ind1="3" ind2=" "><subfield code="a">9783540896937</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">12573189</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)276807172</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB990909204</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rakddb</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-706</subfield><subfield code="a">DE-91G</subfield><subfield code="a">DE-83</subfield><subfield code="a">DE-11</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QA76.9.C65</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3</subfield><subfield code="2">22</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 708f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">004</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 718f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 717f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Simulated Evolution and Learning</subfield><subfield code="b">7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings</subfield><subfield code="c">Xiaodong Li ... (eds.)</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin [u.a.]</subfield><subfield code="b">Springer</subfield><subfield code="c">2008</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">XVI, 658 S.</subfield><subfield code="c">235 mm x 155 mm</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Lecture notes in computer science</subfield><subfield code="v">5361</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Adaptives System - Lernendes System - Evolutionärer Algorithmus - Kongress - Melbourne <2008></subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ameisenalgorithmus - Evolutionärer Algorithmus - Kongress - Melbourne <2008></subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computersimulation - Lernendes System - Evolutionärer Algorithmus - Kongress - Melbourne <2008></subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Evolutionsstrategie - Kongress - Melbourne <2008></subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Maschinelles Lernen - Soft Computing - Kongress - Melbourne <2008></subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Künstliche Intelligenz</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield><subfield code="v">Congresses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer simulation</subfield><subfield code="v">Congresses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Evolutionary programming (Computer science)</subfield><subfield code="v">Congresses</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Lernendes System</subfield><subfield code="0">(DE-588)4120666-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Computersimulation</subfield><subfield code="0">(DE-588)4148259-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Ameisenalgorithmus</subfield><subfield code="0">(DE-588)4704280-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Adaptives System</subfield><subfield code="0">(DE-588)4247928-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Evolutionärer Algorithmus</subfield><subfield code="0">(DE-588)4366912-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Soft Computing</subfield><subfield code="0">(DE-588)4455833-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Evolutionsstrategie</subfield><subfield code="0">(DE-588)4015930-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)1071861417</subfield><subfield code="a">Konferenzschrift</subfield><subfield code="y">2008</subfield><subfield code="z">Melbourne</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Computersimulation</subfield><subfield code="0">(DE-588)4148259-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Lernendes System</subfield><subfield code="0">(DE-588)4120666-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Evolutionärer Algorithmus</subfield><subfield code="0">(DE-588)4366912-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Evolutionsstrategie</subfield><subfield code="0">(DE-588)4015930-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="2" ind2="0"><subfield code="a">Ameisenalgorithmus</subfield><subfield code="0">(DE-588)4704280-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2="1"><subfield code="a">Evolutionärer Algorithmus</subfield><subfield code="0">(DE-588)4366912-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="3" ind2="0"><subfield code="a">Adaptives System</subfield><subfield code="0">(DE-588)4247928-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="3" ind2="1"><subfield code="a">Lernendes System</subfield><subfield code="0">(DE-588)4120666-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="3" ind2="2"><subfield code="a">Evolutionärer Algorithmus</subfield><subfield code="0">(DE-588)4366912-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="3" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="4" ind2="0"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="4" ind2="1"><subfield code="a">Soft Computing</subfield><subfield code="0">(DE-588)4455833-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="4" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Li, Xiaodong</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="711" ind1="2" ind2=" "><subfield code="a">SEAL</subfield><subfield code="n">7</subfield><subfield code="d">2008</subfield><subfield code="c">Melbourne</subfield><subfield code="j">Sonstige</subfield><subfield code="0">(DE-588)16150211-8</subfield><subfield code="4">oth</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Lecture notes in computer science</subfield><subfield code="v">5361</subfield><subfield code="w">(DE-604)BV000000607</subfield><subfield code="9">5361</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">DNB Datenaustausch</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016987916&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-016987916</subfield></datafield></record></collection> |
| genre | (DE-588)1071861417 Konferenzschrift 2008 Melbourne gnd-content |
| genre_facet | Konferenzschrift 2008 Melbourne |
| id | DE-604.BV035181158 |
| illustrated | Not Illustrated |
| index_date | 2024-07-02T22:57:57Z |
| indexdate | 2025-01-10T15:10:20Z |
| institution | BVB |
| institution_GND | (DE-588)16150211-8 |
| isbn | 9783540896937 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016987916 |
| oclc_num | 276807172 |
| open_access_boolean | |
| owner | DE-706 DE-91G DE-BY-TUM DE-83 DE-11 |
| owner_facet | DE-706 DE-91G DE-BY-TUM DE-83 DE-11 |
| physical | XVI, 658 S. 235 mm x 155 mm |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | Springer |
| record_format | marc |
| series | Lecture notes in computer science |
| series2 | Lecture notes in computer science |
| spelling | Simulated Evolution and Learning 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings Xiaodong Li ... (eds.) Berlin [u.a.] Springer 2008 XVI, 658 S. 235 mm x 155 mm txt rdacontent n rdamedia nc rdacarrier Lecture notes in computer science 5361 Adaptives System - Lernendes System - Evolutionärer Algorithmus - Kongress - Melbourne <2008> Ameisenalgorithmus - Evolutionärer Algorithmus - Kongress - Melbourne <2008> Computersimulation - Lernendes System - Evolutionärer Algorithmus - Kongress - Melbourne <2008> Evolutionsstrategie - Kongress - Melbourne <2008> Maschinelles Lernen - Soft Computing - Kongress - Melbourne <2008> Künstliche Intelligenz Artificial intelligence Congresses Computer simulation Congresses Evolutionary programming (Computer science) Congresses Lernendes System (DE-588)4120666-6 gnd rswk-swf Computersimulation (DE-588)4148259-1 gnd rswk-swf Ameisenalgorithmus (DE-588)4704280-1 gnd rswk-swf Adaptives System (DE-588)4247928-9 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Evolutionärer Algorithmus (DE-588)4366912-8 gnd rswk-swf Soft Computing (DE-588)4455833-8 gnd rswk-swf Evolutionsstrategie (DE-588)4015930-9 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2008 Melbourne gnd-content Computersimulation (DE-588)4148259-1 s Lernendes System (DE-588)4120666-6 s Evolutionärer Algorithmus (DE-588)4366912-8 s DE-604 Evolutionsstrategie (DE-588)4015930-9 s Ameisenalgorithmus (DE-588)4704280-1 s Adaptives System (DE-588)4247928-9 s Maschinelles Lernen (DE-588)4193754-5 s Soft Computing (DE-588)4455833-8 s Li, Xiaodong Sonstige oth SEAL 7 2008 Melbourne Sonstige (DE-588)16150211-8 oth Lecture notes in computer science 5361 (DE-604)BV000000607 5361 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016987916&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Simulated Evolution and Learning 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings Lecture notes in computer science Adaptives System - Lernendes System - Evolutionärer Algorithmus - Kongress - Melbourne <2008> Ameisenalgorithmus - Evolutionärer Algorithmus - Kongress - Melbourne <2008> Computersimulation - Lernendes System - Evolutionärer Algorithmus - Kongress - Melbourne <2008> Evolutionsstrategie - Kongress - Melbourne <2008> Maschinelles Lernen - Soft Computing - Kongress - Melbourne <2008> Künstliche Intelligenz Artificial intelligence Congresses Computer simulation Congresses Evolutionary programming (Computer science) Congresses Lernendes System (DE-588)4120666-6 gnd Computersimulation (DE-588)4148259-1 gnd Ameisenalgorithmus (DE-588)4704280-1 gnd Adaptives System (DE-588)4247928-9 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd Soft Computing (DE-588)4455833-8 gnd Evolutionsstrategie (DE-588)4015930-9 gnd |
| subject_GND | (DE-588)4120666-6 (DE-588)4148259-1 (DE-588)4704280-1 (DE-588)4247928-9 (DE-588)4193754-5 (DE-588)4366912-8 (DE-588)4455833-8 (DE-588)4015930-9 (DE-588)1071861417 |
| title | Simulated Evolution and Learning 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings |
| title_auth | Simulated Evolution and Learning 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings |
| title_exact_search | Simulated Evolution and Learning 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings |
| title_exact_search_txtP | Simulated Evolution and Learning 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings |
| title_full | Simulated Evolution and Learning 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings Xiaodong Li ... (eds.) |
| title_fullStr | Simulated Evolution and Learning 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings Xiaodong Li ... (eds.) |
| title_full_unstemmed | Simulated Evolution and Learning 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings Xiaodong Li ... (eds.) |
| title_short | Simulated Evolution and Learning |
| title_sort | simulated evolution and learning 7th international conference seal 2008 melbourne australia december 7 10 2008 proceedings |
| title_sub | 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings |
| topic | Adaptives System - Lernendes System - Evolutionärer Algorithmus - Kongress - Melbourne <2008> Ameisenalgorithmus - Evolutionärer Algorithmus - Kongress - Melbourne <2008> Computersimulation - Lernendes System - Evolutionärer Algorithmus - Kongress - Melbourne <2008> Evolutionsstrategie - Kongress - Melbourne <2008> Maschinelles Lernen - Soft Computing - Kongress - Melbourne <2008> Künstliche Intelligenz Artificial intelligence Congresses Computer simulation Congresses Evolutionary programming (Computer science) Congresses Lernendes System (DE-588)4120666-6 gnd Computersimulation (DE-588)4148259-1 gnd Ameisenalgorithmus (DE-588)4704280-1 gnd Adaptives System (DE-588)4247928-9 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd Soft Computing (DE-588)4455833-8 gnd Evolutionsstrategie (DE-588)4015930-9 gnd |
| topic_facet | Adaptives System - Lernendes System - Evolutionärer Algorithmus - Kongress - Melbourne <2008> Ameisenalgorithmus - Evolutionärer Algorithmus - Kongress - Melbourne <2008> Computersimulation - Lernendes System - Evolutionärer Algorithmus - Kongress - Melbourne <2008> Evolutionsstrategie - Kongress - Melbourne <2008> Maschinelles Lernen - Soft Computing - Kongress - Melbourne <2008> Künstliche Intelligenz Artificial intelligence Congresses Computer simulation Congresses Evolutionary programming (Computer science) Congresses Lernendes System Computersimulation Ameisenalgorithmus Adaptives System Maschinelles Lernen Evolutionärer Algorithmus Soft Computing Evolutionsstrategie Konferenzschrift 2008 Melbourne |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016987916&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV000000607 |
| work_keys_str_mv | AT lixiaodong simulatedevolutionandlearning7thinternationalconferenceseal2008melbourneaustraliadecember7102008proceedings AT sealmelbourne simulatedevolutionandlearning7thinternationalconferenceseal2008melbourneaustraliadecember7102008proceedings |