Holdings: Simulated evolution and learning

Simulated evolution and learning: 8th international conference, SEAL 2010, Kanpur, India, December 1 - 4, 2010; proceedings

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Bibliographic Details
Format:	Conference Proceeding Book
Language:	English
Published:	Berlin [u.a.] Springer 2010
Series:	Lecture notes in computer science 6457
Subjects:	Mehrkriterielle Optimierung Soft Computing Verteilte künstliche Intelligenz Evolutionsstrategie Maschinelles Lernen Evolutionärer Algorithmus Konferenzschrift > 2010 > Kanpur
Online Access:	Inhaltstext Inhaltsverzeichnis
Item Description:	Literaturangaben
Physical Description:	XVII, 719 S. Ill., graph. Darst. 24 cm
ISBN:	9783642172977

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Record in the Search Index

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adam_text	IMAGE 1 TABLE OF CONTENTS INVITED PAPER BEVOND CONVEXITY: NEW PERSPECTIVES IN COMPUTATIONAL OPTIMIZATION . NARENDRA KARMARKAR THEORETICAL DEVELOPMENTS OPTIMAL /X-DISTRIBUTIONS FOR THE HYPERVOLUME INDICATOR FOR PROBLEMS WITH LINEAR BI-OBJECTIVE FRONTS: EXACT AND EXHAUSTIVE RESULTS 24 DIMO BROCKHOFF A PARALLEL ALGORITHM FOR SOLVING LARGE CONVEX MINIMAX PROBLEMS 35 RAMNIK ARORA. UTKARSH UPADHYAY. RUPESH TULSHYAN. AND J. DUTTA TOWARDS EFFICIENT AND EFFECTIVE NEGATIVE SELECT ION ALGORITHM: A CONVEX HUIL REPRESENTATION SCHEME 45 MAHSHID MAJD. FARZANEH SHOELEH. AH HAMZEH. AND SAFTAR HASHCMI TO HANDLE REAL VALUED INPUT IN XCS: USING FUZZY HYPER-TRAPEZOIDAL MEMBERSHIP IN CLASSIFIER CONDITION 55 FARZANEH SHOELEH. AH HAMZEH. AND SATTAR HASHANI DEVELOPMCNT OF OPTIMAL CONTROL SYSTEM FOR SAFE DISTANCE OF PLATOONING USING MODEL PREDICTIVE CONTROL 65 XIN ZHAO, DONGMEI WU. YICHUN YEH. AND HARUTOSHI OGAI A COMPARATIVE STUDY ON THEORETICAL AND EMPIRICAL EVOLUTION OF POPULATION VARIANCE OF DIFFERENTIAL EVOLUTION VARIANTS 75 G. JEYAKURNAR AND C. SHUNMUGA VELAYUTHAM GENERATING SECMENTIAL SPACE-FILLING DESIGNS USING GENET IE ALGORITHMS AND MOUT E CARLO METHODS 80 KAREL CROMBECQ AND TORN DHAENE EVOLUTIONARY ALGORITHMS AND APPLICATIONS MP-EDA: A ROBUST ESTIMATION OF DISTRIBUTION ALGORITHM WITH MULTIPLE PROBABILISTIC MODELS FOR GLOBAL CONTINUOUS OPTIMIZATION 85 JING-HUI ZHONG. -JUN ZHANG. AND ZHTM FAN A BI-CRITERION APPROACH TO MULTIMODAL OPTIMIZATION: SELF-ADAPTIVE APPROACH 9 ; AMI.T SAHA AND KALYANMOY DEB BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/1007777451 DIGITALISIERT DURCH IMAGE 2 XII TABLE OF CONTENTS ON THE FLEXIBLE APPLIED BOUNDARY AND SUPPORT CONDITIONS OF COMPLIANT MECHANISMS USING CUSTOMIZED EVOLUTIONARY ALGORITHM 105 DEEPAK SHARMA INTENSIFICATION STRATEGIES FOR EXTREMAL OPTIMISATION 115 MARCUS RANDALL AND ANDREW LEWIS COMPARING TWO CONSTRAINT HANDLING TECHNIQUES IN A BINARY-CODED GENETIC ALGORITHM FOR OPTIMIZATION PROBLEMS 125 HELIO J.C. BARBOSA, AFONSO C.C. LERNONGE. LEONARDO G. FONSECA. AND HEDER S. BERNARDINO EVOLVING STORIES: TREE ADJOINING GRAMMAR GUIDED GENETIC PROGRAMMING FOR COMPLEX PLOT GENERATION 135 KUN WANG. VINH Q. BUI. AND HUSSEIN A. ABBASS IMPROVING DIFFERENTIAL EVOLUTION BY ALTERING STEPS IN EC 146 NIKHIL PADHYE. PIYUSH BHARDAWAJ. AND KALYANMOY DEB A DYNAMIC ISLAND-BASED GENETIC ALGORITHMS FRAMEWORK 156 FREDERIC LARDEUX AND ADRIEN GOEFFON SOLVING THE OPTIMAL COVERAGE PROBLEM IN WIRELESS SENSOR NETWORKS USING EVOLUTIONARY COMPUTATION ALGORITHMS 166 ZHI-HUI ZHAN. JUN ZHANG, AND ZHUN FAN A COMPARATIVE STUDY OF DIFFERENT VARIANTS OF GENETIC ALGORITHMS FOR CONSTRAINED OPTIMIZATION 177 SABER AI. ELSAYED. RUHUL A. SARKER. AND DARYL L. ESSARN EVOLUTIONARY FCMAC-BYY APPLIED TO STREAM DATA ANALYSIS 187 D. SHI. AI. LOORNES. AND M.N. NGUYEN UNIFAC GROUP INTERACTION PREDICTION FOR IONIC LIQUID-THIOPHENE BASED SYSTEMS USING GENETIC ALGORITHM 195 SURYA PRATAP SINGH. RAMALINGAM ANANTHAMJ. AND TARNAL BANERJEE HIER-HEIR: AN EVOLUTIONARY SYSTEM WITH HIERARCHICAL REPRESENTATION AND OPERATORS APPLIED TO FASHION DESIGN 205 ABHINAI: ALALHOTRA AND VARUN AGGARWAL A POPUIA T ION DIVERSITY-ORIENTED GENE EXPRESSION PROGRAMMING FOR FMIETION FINDING 215 RUODICN LIU. QIFENG LEI. JING LIU. AND LICHENG JIAO LEARNING METHODOLOGIES EVOLUTIONARY OPTIMIZATION OF CATALYSTS ASSISTED BY NEURAL-NETWORK LEARNING 220 MARTIN HOLR-NA. DA VUL LINKE, AND LIRE RODEINERCK IMAGE 3 TABLE OF CONTENTS XIII DOMINANCE-BASED PARETO-SURROGATE FOR MULTI-OBJECTIVE OPTIMIZATION 230 ILYA LOSHCHILOV. MARE SCHOENAUER. AND MICHELE SEBAG L E A R N I NG C E L L U L AR A U T O M A TA R U L ES F OR P A T T E RN R E C O N S T R U E T I ON T A SK . . . 2 40 ANNA PIWONSKA AND FRANCISZEK SEREDYNSKI EVOLVING FUZZY RULES: EVALUATION OF A NEW APPROACH 250 ADAM GHANDAR, ZBIGNIEW MICHALEWICZ. AND FRANK NEUMANN A NICHED GENETIC PROGRAMMING ALGORITHM FOR CLASSIFICATION RULES DISCOVERY IN GEOGRAPHIC DATABASES 260 MARCONI DE ARRUDA PEREIRA. CLODOVEU AUGUSTO DAVIS JUNIOR, AND JOAO ANTONIO DE VASCONCELOS ARTIFICIAL NEURAL NETWORK MODELING FOR ESTIMATING THE DEPTH OF PENETRATION AND WEID BEAD WIDTH FROM THE INFRA RED THERMAL IMAGE OF THE WEID POOL DURING A-TIG WEIDING 270 S. CHOKKALINGHAM. N. CHANDRASEKHAR. AND AI. VASUDEVAN SWARM REINFORCEMENT LEARNING METHOD BASED ON AN ACTOR-CRITIE METHOD 279 HITOSHI IIRNA AND YASUAKI KUROE XCS REVISITED: A NOVEL DISCOVERY COMPONENT FOR THE EXTENDED CLASSIFIER SYSTEM 289 NUGROHO FREDIVIANUS, HOLGER PROTHMANN. AND HAIIRNUT SCHMECK SUPPLANTING NEURAL NETWORKS WITH ODES IN EVOLUTIONARY ROBOTICS 299 PAUL GROUCHY AND GABRIELE ALT. D'ELEUTERIO PARALLEL DISTRIBUTED IMPLEMENTATION OF GENETICS-BASED MACHINE LEARNING FOR FUZZY CLASSIFIER DESIGN 309 YUSUKE NOJIMA. SHINGO MIHARA. AND HISAO I.THIBUCHI MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS FOR FEATURE SELECT ION: APPLICATION IN BANKRUPTCY PREDICTION 319 ANTONIO GASPAR-CUNHA. FERNANDO MENDES. JOAO DUARTE. ARNIANDO VIEIRA. BERNARDETE RIBEIRO. ANDRE RIBEIRO. AND JOAO NEVEN TILE PAST ING P SYSTEM WITH MULTIPLE-EDGE PASTING 329 T. ROBINSON. ATULYA K. NAGAR. AND S. JEBASINGH MODELING AND AUTOMATIOII OF DIAGNOSIS AND TREATMENT OI DIABETES 339 ABHIRARNI BASKANM. DHIRYA KARTBIKEYAN. AND ANUSHN T. STVAINY THE EVOLUTION OF FUZZY CLASSIFIER FOR DATA MINING WITH APPLICATIONS . . . 349 VDCLAV SNDSEL. PAVEL KROM ER. JAN PLATOS, AND AJIFH AHRAHNIN IMAGE 4 XIV TABLE OF CONTENTS PID STEP RESPONSE USING GENETIC PROGRAMMING 359 ALARCUS HENRIQUE SOARES MENDES. GUSTAVO LUIS SOARES, AND JOAO ANTONIO DE VASCONCELOS DIVIDE AND EVOLVE DRIVEN BY HUMAN STRATEGIES 369 ALARKUS BORSCHBACH. CHRISTIAN GRELLE, AND SASCHA HAUKE A GENETIC ALGORITHM FOR ASSIGNING INDIVIDUALS TO POPULATIONS USING MULTI-LOCUS GENOTYPING 374 AVNISH K. BHATIA. MONIKA SODHI. DINESH K. YADAV. AND B. PRAKASH EXTENDED Q-LEARNING ALGORITHM FOR PATH-PLANNING OF A MOBILE ROBOT 379 INDRANI GOSWAMI (CHAKRABORTY). PRADIPTA KUMAR DAS, AMIT KONAR. AND R. JANARTHANAN AN XML FORMAT FOR SHARING EVOLUTIONARY ALGORITHM OUTPUT AND ANALYSIS 384 DHARANI PUNITHAN. JERORNE MARHIC. KANGIL KIM. JAKRAMATE BOOTKRAJANG. RI (BOB) AICKAY. AND NAOKI MORI CAR SETUP OPTIMISATION 389 MOISES ALARTFNEZ. GUSTAVO RECIO. PABLO GARCIA, EMILIO MARTIN, AND YAGO SAEZ MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS AND APPLICATIONS ROBUSTNESS OF MULTI-OBJECTIVE OPTIMAL SOLUTIONS TO PHYSICAL DETERIORATION THROUGH ACTIVE CONTROL 394 GIDEON AVIGAD AND ERELLA EISENSTADT NON-DIMENSIONAL MULTI-OBJECTIVE PERFORMANCE OPTIMIZATION OF SINGLE STAGE THERMOELECTRIC COOLER 404 P.K.S. NAIN. S. SHARRNA. AND J.M. GIRI MULTI-OBJECTIVE OPTIMIZATION OF PARTICLE REINFORCED SILICONE RUBBER MOULD MATERIAL FOR SOFT TOOLING PROCESS 414 ARUP KUMAR NANDI AND SHUBHABRATA DATTA COMPARATIVE APPLICATION OF MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS TO THE VOLTAGE AND REAETIVE POWER OPTIMIZATION PROBLEM IN POWER SYSTEMS 424 S.B.D.V.P.S. ANAUTH AND ROBERT T.F. AH KING BAYESIAN RELIABILITY ANALYSIS UNDER INCOMPLETE INFORMATION USING EVOLUTIONARY ALGORITHMS 435 RITPE.AH KTIMAR SNRA.ITAVA AND KALYANMOY DEB IMAGE 5 TABLE OF CONTENT* XV OPTIMISATION OF DOUBLE WISHBOUE SUSPENSION SYSTEM USING MULTI-OBJECTIVE GENETIC ALGORITHM 445 ADITYA ARIKERE, GURUNATHAN SARAVANA KUMAR. AND SANDIPAN BANDYOPADHYAY SELF-CONTROLLING DOMINANCE AREA OF SOLUTIONS IN EVOLUTIONARY MANY-OBJECTIVE OPTIMIZATION 455 HIROYUKI SATO, HERNDN E. AGUIRRE. AND KIYOSHI TANAKA OPTIMUM DESIGN OF BALANCED SAW FILTERS USING MULTI-OBJECTIVE DIFFERENTIAL EVOLUTION 466 KIYOHARU TAGAWA, YUKINORI SASAKI. AND HIROYUKI NAKAMURA OPTIMIZING THE RISK OF OCCUPATIONAL HEALTH HAZARD IN A MULTIOBJECTIVE DECISION ENVIRONMENT USING NSGA-II 476 YOGESH K. ANAND. SANJAY SRIVASTAVA. AND KARNAL SRIVASTAVA TUNING PROCESS PARAMETERS OF ELECTROCHEMICAL MACHINING USING A MULTI-OBJECTIVE GENETIC ALGORITHM: A PRELIMINARY STUDY 485 DILIP DATTA AND AKAN KUMAR DAS THE OPTIMIZATION VERSUS SURVIVAL PROBLEM AND LTS SOLUTION BY AU EVOLUTIONARY MULTI OBJECTIVE ALGORITHM 494 GIDEON AVIGAD. ERELLA EISENSTADT. AND AUERI WEISS SYNTHESIS OF DIFFERENCE PATTERNS FOR MONOPULSE ANTENNA ARRAYS - AN EVOLUTIONARY MULTI-OBJECTIVE OPTIMIZATION APPROACH 504 SIDDHARTH PAL. ANIRUDDHA BASAK. SWAGATAM DAS. AND P.N. SUGANTHAN PERFORMANCE OF LOGNORMAL PROBABILITY DISTRIBUTION IN CROSSOVER OPERATOR OF NSGA-II ALGORITHM 514 K. V.R.B. PRASAD AND PRAVIN AI. SINGRU METAMODELS FOR FAST MULTI-OBJECTIVE OPTIMIZATION: TRADING OFF GLOBAL EXPLORATION AND LOCAL EXPLOITATION 523 ENRICO RIGONI AND ALESSANDRO TURCO INTEGRATED LOCATION-INVENTORY RETAIL SUPPLY CHAIN DESIGN: A MULTI-OBJECTIVE EVOLUTIONARY APPROACH 533 SHU-HSIEN LIAO AND CHIA-LIN HSIEH MULTI-OBJECTIVE JOB SHOP SCHEDULING BASED ON MULTIAGENT EVOLUTIONARY ALGORITHM 5 43 XINRIII DUAN. JIN.G LIU. LI ZHANG. AND LICHENG JIAO A PREFERENCE ORIENTED TWO-LAYERED MULTIAGENT EVOHUIOUARY ALGORITHM FOR MULTI-OBJECTIVE JOB SHOP PROBLEMS 553 XINRUI DAAN. JING LIU. RUOCLIEN LIU. AND LICHT NG JIAO IMAGE 6 XVI TABLE OF CONTENTS USING AN ADAPTATION OF A BINARY SEARCH TREE TO IMPROVE THE NSGA-II NONDOMINATED SORTING PROCEDURE 558 JOAO BATISTA MENDES AND JOAO ANTOENIO DE VASCONCELOS A HYBRID METHOD FOR MULTI-OBJECTIVE SHAPE OPTIMIZATION 563 G.N. SASHI KUMAR, A.K. MAHENDRA. A. SANYAL, AND G. GOUTHAMAN EVOLUTIONARY MULTI-OBJECTIVE BACTERIAL SWARM OPTIMIZATION (MOBSO): A HYBRID APPROACH 568 INDRANIL BANERJEE AND PRASUN DAS MULTI-OBJECTIVE OPTIMISATION OF WEB BUSINESS PROCESSES 573 ASHUTOSH TIWARI, CHRISTOPHER TURNER, PETER BALL, AND KOSTAS VERGIDIS MULTI OBJECTIVE OPTIMIZATION OF PLANETARY GEAR TRAIN 578 VIP-IN K. TRIPATHI AND HITEN M. CHAUHAN MULTI-OBJECTIVE CONTROL SYSTEMS DESIGN WITH CRITERIA REDUCTION 583 PIOTR WOZNIAK PROBABILISTIC BASED EVOLUTIONARY OPTIMIZERS IN BI-OBJECTIVE TRAVELLING SALESMAN PROBLEM 588 VUI ANN SHIM. KAY CHEN TAN. AND JUN YONG CHIA HYBRID ALGORITHMS AUTOMATIC SHAPE INDEPENDENT SHELL CLUSTERING USING AN ANT BASED APPROACH 593 SIDDHARTH PAL. ANIRUDDHA BASAK, AND SWAGATAM DAS HYBRID SEARCH FOR FASTER PRODUCTION AND SAFER PROCESS CONDITIONS IN FRICTION STIR WEIDING 603 CEM CELAL TUTUM. KALYANMOY DEB. AND JESPER HATTEL HYBRID OPTIMIZATION SCHEME FOR RADIAL BASIS FUNCTION NEURAL NETWORK 613 VID-YUT DEY. DILIP KUMAR PRATIHAR. AND GAURANGA LAL DATTA MODIFIED LEVENBERG MARQUARDT ALGORITHM FOR INVERSE PROBLEMS 623 MUTHU NAVEEN. SHANKAR JAYARAMAN. VINAY RAMANATH. AND SHAMIK CHAUDHURI CONSTRAINED ENGINEERING DESIGN OPTIMIZATION USING A HYBRID BI-OBJECTIVE EVOLUTIONARV-CLASSICAL METHODOLOGY 633 RITUPARNA DATTA. IMAGE 7 TABLE OF CONTENTS XVII INDUSTRIAL APPLICATIONS A MANY-OBJECTIVE OPTIMISATION DECISION-MAKING PROCESS APPLIED TO AUTOMOTIVE DIESEL ENGINE CALIBRATION 638 ROBERT J. LYGOE, MARK CARY, AND PETER J. FLEMING A MODULAR DECISION-TREE ARCHITECTURE FOR BETTER PROBLEM UNDERSTANDING 647 VINEET R. KHARE AND HALASYA SIVA SUBRAMANIA VIRTUAL MANUFACTURING CELL DESIGN USING A PSO APPROACH WITH ALTERNATIVE NEIGHBOURHOOD TOPOLOGIES 657 RAHUL CAPRIHAN. JANNES SLOMP, GURSARAN SRIVASTAVA. AND KHUSHBOO AGARWAL ENERGY SAVING SYSTEM FOR OFFICE LIGHTING BY USING PSO AND ZIGBEE NETWORK 667 WA SI, HARUTOSHI OGAI. TANSHENG LI. MASATOSHI OGAWA. KATSUMI HIRAI, AND HIDEHIRO TAKAHASHI ECOSUPPLY: A MACHINE LEARNING FRAMEWORK FOR ANALYZING THE IMPACT OF ECOSYSTEM ON GLOBAL SUPPLY CHAIN DYNAMICS 677 VIKAS K. GARG AND N. VISWANADHAM A DAT A-MINING METHOD FOR DETECTION OF COMPLEX NONLINEAR RELATIONS APPLIED TO A MODEL OF APOPTOSIS IN CELL POPULATIONS 687 HENRIK SAXEN AND FRANK PETTERSSON AN IMPLEMENTATION OF PARETO SET PURSUING TECHNIQUE FOR CONCEPT VEHICLE DESIGN 696 DHANESH PADMANABHAN AND RAJKUMAR VAIDYANATHAN EPIC: EFFICIENT INTEGRATION OF PARTITIONAL CLUSTERING ALGORITHMS FOR CLASSIFICATION 706 VIKAS K. GARG AND M.N. MURTY TOWARD OPTIMAL DISK LAYOUT OF GENOME SCALE SUFFIX TREES 711 VIKAS K. GARG AUTHOR INDEX 717
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genre	(DE-588)1071861417 Konferenzschrift 2010 Kanpur gnd-content
genre_facet	Konferenzschrift 2010 Kanpur
id	DE-604.BV036801935
illustrated	Illustrated
indexdate	2025-01-10T15:13:10Z
institution	BVB
institution_GND	(DE-588)16091044-4
isbn	9783642172977
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-020718094
oclc_num	698583564
open_access_boolean
owner	DE-706 DE-91G DE-BY-TUM DE-83
owner_facet	DE-706 DE-91G DE-BY-TUM DE-83
physical	XVII, 719 S. Ill., graph. Darst. 24 cm
publishDate	2010
publishDateSearch	2010
publishDateSort	2010
publisher	Springer
record_format	marc
series	Lecture notes in computer science
series2	Lecture notes in computer science
spelling	Simulated evolution and learning 8th international conference, SEAL 2010, Kanpur, India, December 1 - 4, 2010; proceedings Kalyanmoy Deb ... (eds.) Berlin [u.a.] Springer 2010 XVII, 719 S. Ill., graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier Lecture notes in computer science 6457 Literaturangaben Mehrkriterielle Optimierung (DE-588)4610682-0 gnd rswk-swf Soft Computing (DE-588)4455833-8 gnd rswk-swf Verteilte künstliche Intelligenz (DE-588)4281805-9 gnd rswk-swf Evolutionsstrategie (DE-588)4015930-9 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Evolutionärer Algorithmus (DE-588)4366912-8 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2010 Kanpur gnd-content Evolutionärer Algorithmus (DE-588)4366912-8 s DE-604 Maschinelles Lernen (DE-588)4193754-5 s Soft Computing (DE-588)4455833-8 s Mehrkriterielle Optimierung (DE-588)4610682-0 s Verteilte künstliche Intelligenz (DE-588)4281805-9 s Evolutionsstrategie (DE-588)4015930-9 s Deb, Kalyanmoy Sonstige oth SEAL 8 2010 Kanpur Sonstige (DE-588)16091044-4 oth Lecture notes in computer science 6457 (DE-604)BV000000607 6457 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3552146&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020718094&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Simulated evolution and learning 8th international conference, SEAL 2010, Kanpur, India, December 1 - 4, 2010; proceedings Lecture notes in computer science Mehrkriterielle Optimierung (DE-588)4610682-0 gnd Soft Computing (DE-588)4455833-8 gnd Verteilte künstliche Intelligenz (DE-588)4281805-9 gnd Evolutionsstrategie (DE-588)4015930-9 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd
subject_GND	(DE-588)4610682-0 (DE-588)4455833-8 (DE-588)4281805-9 (DE-588)4015930-9 (DE-588)4193754-5 (DE-588)4366912-8 (DE-588)1071861417
title	Simulated evolution and learning 8th international conference, SEAL 2010, Kanpur, India, December 1 - 4, 2010; proceedings
title_auth	Simulated evolution and learning 8th international conference, SEAL 2010, Kanpur, India, December 1 - 4, 2010; proceedings
title_exact_search	Simulated evolution and learning 8th international conference, SEAL 2010, Kanpur, India, December 1 - 4, 2010; proceedings
title_full	Simulated evolution and learning 8th international conference, SEAL 2010, Kanpur, India, December 1 - 4, 2010; proceedings Kalyanmoy Deb ... (eds.)
title_fullStr	Simulated evolution and learning 8th international conference, SEAL 2010, Kanpur, India, December 1 - 4, 2010; proceedings Kalyanmoy Deb ... (eds.)
title_full_unstemmed	Simulated evolution and learning 8th international conference, SEAL 2010, Kanpur, India, December 1 - 4, 2010; proceedings Kalyanmoy Deb ... (eds.)
title_short	Simulated evolution and learning
title_sort	simulated evolution and learning 8th international conference seal 2010 kanpur india december 1 4 2010 proceedings
title_sub	8th international conference, SEAL 2010, Kanpur, India, December 1 - 4, 2010; proceedings
topic	Mehrkriterielle Optimierung (DE-588)4610682-0 gnd Soft Computing (DE-588)4455833-8 gnd Verteilte künstliche Intelligenz (DE-588)4281805-9 gnd Evolutionsstrategie (DE-588)4015930-9 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd
topic_facet	Mehrkriterielle Optimierung Soft Computing Verteilte künstliche Intelligenz Evolutionsstrategie Maschinelles Lernen Evolutionärer Algorithmus Konferenzschrift 2010 Kanpur
url	http://deposit.dnb.de/cgi-bin/dokserv?id=3552146&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020718094&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV000000607
work_keys_str_mv	AT debkalyanmoy simulatedevolutionandlearning8thinternationalconferenceseal2010kanpurindiadecember142010proceedings AT sealkanpur simulatedevolutionandlearning8thinternationalconferenceseal2010kanpurindiadecember142010proceedings

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