Local Meta-models for ASM-MOMA

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F11%3A00375611" target="_blank" >RIV/67985807:_____/11:00375611 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-24728-6_20" target="_blank" >http://dx.doi.org/10.1007/978-3-642-24728-6_20</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-24728-6_20" target="_blank" >10.1007/978-3-642-24728-6_20</a>

Result language
angličtina
Original language name
Local Meta-models for ASM-MOMA
Original language description
Evolutionary algorithms generally require a large number of objective function evaluations which can be costly in practice. These evaluations can be replaced by evaluations of a cheaper meta-model of the objective functions. In this paper we describe a multiobjective memetic algorithm utilizing local distance based meta-models. This algorithm is evaluated and compared to standard multiobjective evolutionary algorithms as well as a similar algorithm with a global meta-model. The number of objective function evaluations is considered, and also the conditions under which the algorithm actually helps to reduce the time needed to find a solution are analyzed.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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