Evolutionary Identification of Predictive Models

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26520%2F00%3A63300099" target="_blank" >RIV/00216305:26520/00:63300099 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Evolutionary Identification of Predictive Models

Original language description

In this contribution is shown, how can be used evolutionary algorithms (EA) for retrieval of suitable predictive models. Two new different algorithms were used. The first one was Differential Evolution (DE) and the second one was Self-Organizing Migrating Algorithm (SOMA). Both algorithms were used in the same way to find the best model whose response is comparable with given time series as much as possible. Problem was build up like problem of optimization where the cost function was based on difference between original time series and time series from identified model

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2000

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

The 20th International Symposium on Forecasting

ISBN

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ISSN

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e-ISSN

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Number of pages

6

Pages from-to

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Publisher name

International Institute of Forecasters

Place of publication

Lisbon, Portugal

Event location

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Event date

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Type of event by nationality

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UT code for WoS article

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