Evolutionary Optimization in Dynamic Environments:
Evolutionary Algorithms (EAs) have grown into a mature field of research in optimization, and have proven to be effective and robust problem solvers for a broad range of static real-world optimization problems. Yet, since they are based on the principles of natural evolution, and since natural evolu...
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1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer US
2002
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Ausgabe: | 1st ed. 2002 |
Schriftenreihe: | Genetic Algorithms and Evolutionary Computation
3 |
Schlagworte: | |
Online-Zugang: | UBY01 Volltext |
Zusammenfassung: | Evolutionary Algorithms (EAs) have grown into a mature field of research in optimization, and have proven to be effective and robust problem solvers for a broad range of static real-world optimization problems. Yet, since they are based on the principles of natural evolution, and since natural evolution is a dynamic process in a changing environment, EAs are also well suited to dynamic optimization problems. Evolutionary Optimization in Dynamic Environments is the first comprehensive work on the application of EAs to dynamic optimization problems. It provides an extensive survey on research in the area and shows how EAs can be successfully used to continuously and efficiently adapt a solution to a changing environment, find a good trade-off between solution quality and adaptation cost, find robust solutions whose quality is insensitive to changes in the environment, find flexible solutions which are not only good but that can be easily adapted when necessary. All four aspects are treated in this book, providing a holistic view on the challenges and opportunities when applying EAs to dynamic optimization problems. The comprehensive and up-to-date coverage of the subject, together with details of latest original research, makes Evolutionary Optimization in Dynamic Environments an invaluable resource for researchers and professionals who are dealing with dynamic and stochastic optimization problems, and who are interested in applying local search heuristics, such as evolutionary algorithms |
Beschreibung: | 1 Online-Ressource (XIV, 208 p) |
ISBN: | 9781461509110 |
DOI: | 10.1007/978-1-4615-0911-0 |
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author | Branke, Jürgen |
author_facet | Branke, Jürgen |
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dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
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dewey-sort | 16.3 |
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discipline | Informatik |
discipline_str_mv | Informatik |
doi_str_mv | 10.1007/978-1-4615-0911-0 |
edition | 1st ed. 2002 |
format | Electronic eBook |
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index_date | 2024-07-03T16:12:23Z |
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institution | BVB |
isbn | 9781461509110 |
language | English |
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series2 | Genetic Algorithms and Evolutionary Computation |
spelling | Branke, Jürgen Verfasser aut Evolutionary Optimization in Dynamic Environments by Jürgen Branke 1st ed. 2002 New York, NY Springer US 2002 1 Online-Ressource (XIV, 208 p) txt rdacontent c rdamedia cr rdacarrier Genetic Algorithms and Evolutionary Computation 3 Evolutionary Algorithms (EAs) have grown into a mature field of research in optimization, and have proven to be effective and robust problem solvers for a broad range of static real-world optimization problems. Yet, since they are based on the principles of natural evolution, and since natural evolution is a dynamic process in a changing environment, EAs are also well suited to dynamic optimization problems. Evolutionary Optimization in Dynamic Environments is the first comprehensive work on the application of EAs to dynamic optimization problems. It provides an extensive survey on research in the area and shows how EAs can be successfully used to continuously and efficiently adapt a solution to a changing environment, find a good trade-off between solution quality and adaptation cost, find robust solutions whose quality is insensitive to changes in the environment, find flexible solutions which are not only good but that can be easily adapted when necessary. All four aspects are treated in this book, providing a holistic view on the challenges and opportunities when applying EAs to dynamic optimization problems. The comprehensive and up-to-date coverage of the subject, together with details of latest original research, makes Evolutionary Optimization in Dynamic Environments an invaluable resource for researchers and professionals who are dealing with dynamic and stochastic optimization problems, and who are interested in applying local search heuristics, such as evolutionary algorithms Artificial Intelligence Theory of Computation Calculus of Variations and Optimal Control; Optimization Artificial intelligence Computers Calculus of variations Erscheint auch als Druck-Ausgabe 9780792376316 Erscheint auch als Druck-Ausgabe 9781461353003 Erscheint auch als Druck-Ausgabe 9781461509127 https://doi.org/10.1007/978-1-4615-0911-0 Verlag URL des Eerstveröffentlichers Volltext |
spellingShingle | Branke, Jürgen Evolutionary Optimization in Dynamic Environments Artificial Intelligence Theory of Computation Calculus of Variations and Optimal Control; Optimization Artificial intelligence Computers Calculus of variations |
title | Evolutionary Optimization in Dynamic Environments |
title_auth | Evolutionary Optimization in Dynamic Environments |
title_exact_search | Evolutionary Optimization in Dynamic Environments |
title_exact_search_txtP | Evolutionary Optimization in Dynamic Environments |
title_full | Evolutionary Optimization in Dynamic Environments by Jürgen Branke |
title_fullStr | Evolutionary Optimization in Dynamic Environments by Jürgen Branke |
title_full_unstemmed | Evolutionary Optimization in Dynamic Environments by Jürgen Branke |
title_short | Evolutionary Optimization in Dynamic Environments |
title_sort | evolutionary optimization in dynamic environments |
topic | Artificial Intelligence Theory of Computation Calculus of Variations and Optimal Control; Optimization Artificial intelligence Computers Calculus of variations |
topic_facet | Artificial Intelligence Theory of Computation Calculus of Variations and Optimal Control; Optimization Artificial intelligence Computers Calculus of variations |
url | https://doi.org/10.1007/978-1-4615-0911-0 |
work_keys_str_mv | AT brankejurgen evolutionaryoptimizationindynamicenvironments |