The Nested Genetic Agorithms for Distributed Optimization Problems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F11%3APU95151" target="_blank" >RIV/00216305:26210/11:PU95151 - 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
The Nested Genetic Agorithms for Distributed Optimization Problems
Original language description
Firstly, we review basic principles of the distributed modeling approach in optimization and present introduction to the formal framework based on the concept of a distributed optimization program. The framework is a general one and may be utilized for various classes of decision problems. The DOPs (distributed optimization programs) are introduced as syntactical entities containing certain optimization elements and based on composition rules. They may describe both basic and advanced mathematical programs (e.g., dynamic, stochastic, multistage, and hierarchical) and also game theory models. In addition, more complicated models can be derived from these building stones and further transformed in the syntactical correct way. Although the introduced descriptions are particularly designed for manipulations of programs structures, semantics for certain DOPs can also be defined. Hence, the next challenge is to search promising solutions in the feasible sets of optimization elements of DOPs.
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of The World Congress on Engineering and Computer Science 2011
ISBN
978-988-18210-9-6
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
480-484
Publisher name
Neuveden
Place of publication
Neuveden
Event location
San Francisco
Event date
Oct 19, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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