Hybrid metaheuristics:
<p>The main goal of this book is to provide a state of the art of hybrid metaheuristics. The book provides a complete background that enables readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete, mono-objective/multi-objective, optim...
Gespeichert in:
Weitere Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berlin [u.a.]
Springer
2013
|
Schriftenreihe: | Studies in computational intelligence
434 |
Schlagworte: | |
Online-Zugang: | BTU01 FHA01 FHI01 FHN01 FHR01 FKE01 FWS01 UBY01 Volltext Inhaltsverzeichnis Abstract |
Zusammenfassung: | <p>The main goal of this book is to provide a state of the art of hybrid metaheuristics. The book provides a complete background that enables readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete, mono-objective/multi-objective, optimization under uncertainty) in a diverse range of application domains. Readers learn to solve large scale problems quickly and efficiently combining metaheuristics with complementary metaheuristics, mathematical programming, constraint programming and machine learning. Numerous real-world examples of problems and solutions demonstrate how hybrid metaheuristics are applied in such fields as networks, logistics and transportation, bio-medical, engineering design, scheduling.</p> |
Beschreibung: | Part I Hybrid metaheuristics for mono and multi-objective optimization, and optimization under uncertainty -- Part II Combining metaheuristics with (complementary) metaheuristics -- Part III Combining metaheuristics with exact methods from mathematical programming approaches -- Part IV Combining metaheuristics with constraint programming approaches -- Part V Combining metaheuristics with machine learning and data mining techniques |
Beschreibung: | 1 Online-Ressource |
ISBN: | 9783642306716 |
DOI: | 10.1007/978-3-642-30671-6 |
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520 | |a <p>The main goal of this book is to provide a state of the art of hybrid metaheuristics. The book provides a complete background that enables readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete, mono-objective/multi-objective, optimization under uncertainty) in a diverse range of application domains. Readers learn to solve large scale problems quickly and efficiently combining metaheuristics with complementary metaheuristics, mathematical programming, constraint programming and machine learning. Numerous real-world examples of problems and solutions demonstrate how hybrid metaheuristics are applied in such fields as networks, logistics and transportation, bio-medical, engineering design, scheduling.</p> | ||
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Datensatz im Suchindex
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adam_text | HYBRID METAHEURISTICS
/
: 2013
TABLE OF CONTENTS / INHALTSVERZEICHNIS
PART I HYBRID METAHEURISTICS FOR MONO AND MULTI-OBJECTIVE OPTIMIZATION,
AND OPTIMIZATION UNDER UNCERTAINTY
PART II COMBINING METAHEURISTICS WITH (COMPLEMENTARY) METAHEURISTICS
PART III COMBINING METAHEURISTICS WITH EXACT METHODS FROM MATHEMATICAL
PROGRAMMING APPROACHES
PART IV COMBINING METAHEURISTICS WITH CONSTRAINT PROGRAMMING APPROACHES
PART V COMBINING METAHEURISTICS WITH MACHINE LEARNING AND DATA MINING
TECHNIQUES
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
HYBRID METAHEURISTICS
/
: 2013
ABSTRACT / INHALTSTEXT
THE MAIN GOAL OF THIS BOOK IS TO PROVIDE A STATE OF THE ART OF HYBRID
METAHEURISTICS. THE BOOK PROVIDES A COMPLETE BACKGROUND THAT ENABLES
READERS TO DESIGN AND IMPLEMENT HYBRID METAHEURISTICS TO SOLVE COMPLEX
OPTIMIZATION PROBLEMS (CONTINUOUS/DISCRETE,
MONO-OBJECTIVE/MULTI-OBJECTIVE, OPTIMIZATION UNDER UNCERTAINTY) IN A
DIVERSE RANGE OF APPLICATION DOMAINS. READERS LEARN TO SOLVE LARGE SCALE
PROBLEMS QUICKLY AND EFFICIENTLY COMBINING METAHEURISTICS WITH
COMPLEMENTARY METAHEURISTICS, MATHEMATICAL PROGRAMMING, CONSTRAINT
PROGRAMMING AND MACHINE LEARNING. NUMEROUS REAL-WORLD EXAMPLES OF
PROBLEMS AND SOLUTIONS DEMONSTRATE HOW HYBRID METAHEURISTICS ARE APPLIED
IN SUCH FIELDS AS NETWORKS, LOGISTICS AND TRANSPORTATION, BIO-MEDICAL,
ENGINEERING DESIGN, SCHEDULING
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
any_adam_object | 1 |
author2 | Talbi, El-Ghazali 1965- |
author2_role | edt |
author2_variant | e g t egt |
author_GND | (DE-588)131576542 |
author_facet | Talbi, El-Ghazali 1965- |
building | Verbundindex |
bvnumber | BV040881949 |
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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 |
doi_str_mv | 10.1007/978-3-642-30671-6 |
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genre_facet | Konferenzschrift |
id | DE-604.BV040881949 |
illustrated | Not Illustrated |
indexdate | 2024-08-01T16:14:46Z |
institution | BVB |
isbn | 9783642306716 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025861695 |
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publishDate | 2013 |
publishDateSearch | 2013 |
publishDateSort | 2013 |
publisher | Springer |
record_format | marc |
series | Studies in computational intelligence |
series2 | Studies in computational intelligence |
spellingShingle | Hybrid metaheuristics Studies in computational intelligence Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence Metaheuristik (DE-588)4820176-5 gnd |
subject_GND | (DE-588)4820176-5 (DE-588)1071861417 |
title | Hybrid metaheuristics |
title_auth | Hybrid metaheuristics |
title_exact_search | Hybrid metaheuristics |
title_full | Hybrid metaheuristics El-Ghazali Talbi (ed.) |
title_fullStr | Hybrid metaheuristics El-Ghazali Talbi (ed.) |
title_full_unstemmed | Hybrid metaheuristics El-Ghazali Talbi (ed.) |
title_short | Hybrid metaheuristics |
title_sort | hybrid metaheuristics |
topic | Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence Metaheuristik (DE-588)4820176-5 gnd |
topic_facet | Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence Metaheuristik Konferenzschrift |
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