Nature inspired algorithms for optimisation
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| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Berlin ; Heidelberg
Springer
2009
|
| Schriftenreihe: | Studies in computational intelligence
193 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
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Datensatz im Suchindex
| _version_ | 1819596535504044032 |
|---|---|
| adam_text | CONTENTS SECTION I: INTRODUCTION WHY IS OPTIMIZATION DIFFICULT? 1 THOMAS
WEISE, MICHAEL ZAPF, RAYMOND CHIONG, ANTONIO J. NEBRO THE RATIONALE
BEHIND SEEKING INSPIRATION FROM NATURE 51 KENT C.B. STEER, ANDREW WIRTH,
SARNAN K. HALGAMUGE SECTION II: EVOLUTIONARY INTELLIGENCE THE
EVOLUTIONARY-GRADIENT-SEARCH PROCEDURE IN THEORY AND PRACTICE 77 RALF
SALOMON, DIRK V. ARNOLD THE EVOLUTIONARY TRANSITION ALGORITHM: EVOLVING
COMPLEX SOLUTIONS OUT OF SIMPLER ONES 103 TOM LENAERTS, ANNE DEFAWEUX,
JANO VAN HEMERT A MODEL-ASSISTED MEMETIC ALGORITHM FOR EXPENSIVE
OPTIMIZATION PROBLEMS 133 YOEL TENNE A SELF-ADAPTIVE MIXED DISTRIBUTION
BASED UNI-VARIATE ESTIMATION OF DISTRIBUTION ALGORITHM FOR LARGE SCALE
GLOBAL OPTIMIZATION 171 YU WANG, BIN LI DIFFERENTIAL EVOLUTION WITH
FITNESS DIVERSITY SELF-ADAPTATION 199 VILLE TIRRONEN, FERRANTE NERI
BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/99229150X DIGITALISIERT
DURCH XVI CONTENTS CENTRAL PATTERN GENERATORS: OPTIMISATION AND
APPLICATION 235 LEENA N. PATEL SECTION III: COLLECTIVE INTELLIGENCE FISH
SCHOOL SEARCH 261 CARMELO J.A. BASTOS FILHO, FERNANDO B. DE LIMA NETO,
ANTHONY J.C.C. LINS, ANTONIO I.S. NASCIMENTO, MARILIA P. LIMA MAGNIFIER
PARTICLE SWARM OPTIMIZATION 279 YING TAN, JUNGI ZHANG IMPROVED PARTICLE
SWARM OPTIMIZATION IN CONSTRAINED NUMERICAL SEARCH SPACES 299 EFREN
MEZURA-MONTES, JORGE ISACC FLORES-MENDOZA APPLYING RIVER FORMATION
DYNAMICS TO SOLVE NP-COMPLETE PROBLEMS 333 PABLO RABANAL, JSMAEL
RODRIGUEZ, FERNANDO RUBIO SECTION IV: SOCIAL-NATURAL INTELLIGENCE
ALGORITHMS INSPIRED IN SOCIAL PHENOMENA 369 ANTONIO NEME, SERGIO
HERNANDEZ ARTIFICIAL IMMUNE SYSTEMS FOR OPTIMIZATION 389 HEDER S.
BERNARDINO, HELIO J.C. BARBOSA SECTION V: MULTI-OBJECTIVE OPTIMISATION
RANKING METHODS IN MANY-OBJECTIVE EVOLUTIONARY ALGORITHMS 413 ANTONIO
LOPEZ JAIMES, LUIS VICENTE SANTANA QUINTERO, CARLOS A. COELLO COELLO ON
THE EFFECT OF APPLYING A STEADY-STATE SELECTION SCHEME IN THE
MULTI-OBJECTIVE GENETIC ALGORITHM NSGA-II 435 ANTONIO J. NEBRO, JUAN J.
DURILLO IMPROVING THE PERFORMANCE OF MULTIOBJECTIVE EVOLUTIONARY
OPTIMIZATION ALGORITHMS USING COEVOLUTIONARY LEARNING 457 TSE CONTENTS
XVII EVOLUTIONARY OPTIMIZATION FOR MULTIOBJECTIVE PORTFOLIO SELECTION
UNDER MARKOWITZ S MODEL WITH APPLICATION TO THE CARACAS STOCK EXCHANGE
489 FEIJOO COLOMINE DURAN, CARLOS COTTA, ANTONIO J. FERNDNDEZ INDEX 511
AUTHOR INDEX 515
|
| any_adam_object | 1 |
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| ctrlnum | (OCoLC)310400832 (DE-599)BVBBV035667104 |
| dewey-full | 004 519.62 |
| dewey-hundreds | 000 - Computer science, information, general works 500 - Natural sciences and mathematics |
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| dewey-raw | 004 519.62 |
| dewey-search | 004 519.62 |
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| discipline | Informatik Mathematik |
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| id | DE-604.BV035667104 |
| illustrated | Illustrated |
| indexdate | 2024-12-23T22:06:32Z |
| institution | BVB |
| isbn | 9783642002663 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-017721441 |
| oclc_num | 310400832 |
| open_access_boolean | |
| owner | DE-703 DE-11 |
| owner_facet | DE-703 DE-11 |
| physical | XVII, 514 S. graph. Darst. |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Springer |
| record_format | marc |
| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spellingShingle | Nature inspired algorithms for optimisation Studies in computational intelligence Stochastische Optimierung - Metaheuristik - Evolutionärer Algorithmus - Mehrkriterielle Optimierung Computational intelligence Evolutionary computation Swarm intelligence Evolutionärer Algorithmus (DE-588)4366912-8 gnd Stochastische Optimierung (DE-588)4057625-5 gnd Mehrkriterielle Optimierung (DE-588)4610682-0 gnd Metaheuristik (DE-588)4820176-5 gnd |
| subject_GND | (DE-588)4366912-8 (DE-588)4057625-5 (DE-588)4610682-0 (DE-588)4820176-5 |
| title | Nature inspired algorithms for optimisation |
| title_auth | Nature inspired algorithms for optimisation |
| title_exact_search | Nature inspired algorithms for optimisation |
| title_full | Nature inspired algorithms for optimisation Raymond Chiong (ed.) |
| title_fullStr | Nature inspired algorithms for optimisation Raymond Chiong (ed.) |
| title_full_unstemmed | Nature inspired algorithms for optimisation Raymond Chiong (ed.) |
| title_short | Nature inspired algorithms for optimisation |
| title_sort | nature inspired algorithms for optimisation |
| topic | Stochastische Optimierung - Metaheuristik - Evolutionärer Algorithmus - Mehrkriterielle Optimierung Computational intelligence Evolutionary computation Swarm intelligence Evolutionärer Algorithmus (DE-588)4366912-8 gnd Stochastische Optimierung (DE-588)4057625-5 gnd Mehrkriterielle Optimierung (DE-588)4610682-0 gnd Metaheuristik (DE-588)4820176-5 gnd |
| topic_facet | Stochastische Optimierung - Metaheuristik - Evolutionärer Algorithmus - Mehrkriterielle Optimierung Computational intelligence Evolutionary computation Swarm intelligence Evolutionärer Algorithmus Stochastische Optimierung Mehrkriterielle Optimierung Metaheuristik |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017721441&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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| work_keys_str_mv | AT chiongraymond natureinspiredalgorithmsforoptimisation |