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Paperback or Softback. Condition: New. Kernel Methods and Hybrid Evolutionary Algorithms in Energy Forecasting. Book.
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Kartoniert / Broschiert. Condition: New. KlappentextrnrnThe development of kernel methods and hybrid evolutionary algorithms (HEAs) to support experts in energy forecasting is of great importance to improving the accuracy of the actions derived from an energy decision maker, and it is .
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware - The development of kernel methods and hybrid evolutionary algorithms (HEAs) to support experts in energy forecasting is of great importance to improving the accuracy of the actions derived from an energy decision maker, and it is crucial that they are theoretically sound. In addition, more accurate or more precise energy demand forecasts are required when decisions are made in a competitive environment. Therefore, this is of special relevance in the Big Data era. These forecasts are usually based on a complex function combination. These models have resulted in over-reliance on the use of informal judgment and higher expense if lacking the ability to catch the data patterns. The novel applications of kernel methods and hybrid evolutionary algorithms can provide more satisfactory parameters in forecasting models.We aimed to attract researchers with an interest in the research areas described above. Specifically, we were interested in contributions towards the development of HEAs with kernel methods or with other novel methods (e.g., chaotic mapping mechanism, fuzzy theory, and quantum computing mechanism), which, with superior capabilities over the traditional optimization approaches, aim to overcome some embedded drawbacks and then apply these new HEAs to be hybridized with original forecasting models to significantly improve forecasting accuracy.
Published by VDM Verlag Dr. Müller, VDM Verlag Dr. Müller E.K., 2008
ISBN 10: 3639015282 ISBN 13: 9783639015287
Language: English
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Taschenbuch. Condition: Neu. Neuware - Many real world problems have conflicting multiple objectives which a decision maker would like to optimize simultaneously. Thus, the decision maker may obtain many optimal solutions from a solution method. Subsequently, the user has the difficult task to pick one solution.Interactive methods focus on solutions which are located in the users region of interest.The author, Madan Sathe, analyses and classifies essential existing interactive classical methods and provides a new grouping approach for existing interactive evolutionary methods.After a crossfertilization of these two fields a new Hybrid Interactive Reference Point Method is designed and implemented within a powerful graphical tool. The tool guides the user to new regions of interest step by step while yielding detailed information about solutions at each step.Finally, the new approach is validated on test and real world problems. Currently, the scope of the tool is limited to non-linear optimization problems.The book is aimed at people who are interested in the field of multi-objective optimization and who would like to gain information about interactive methods and the realization in graphical tools.
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Published by LIGHTNING SOURCE INC, 2023
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Published by LAP LAMBERT Academic Publishing, 2009
ISBN 10: 3838313267 ISBN 13: 9783838313269
Language: English
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Taschenbuch. Condition: Neu. Hybrid Evolutionary Algorithms | Crina Grosan (u. a.) | Taschenbuch | xv | Englisch | 2010 | Springer Vieweg | EAN 9783642092350 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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