Estimation of distribution algorithms with copula-based models

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F11%3A00366053" target="_blank" >RIV/67985807:_____/11:00366053 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Estimation of distribution algorithms with copula-based models
Original language description
Estimation of distribution algorithms (EDAs) have been developed as a recent kind of evolutionary algorithms during the last fifteen years. Instead of generating individuals through genetic operations (crossover, mutation), they estimate distribution ofsolutions with higher fitness evaluation: a model of such distribution is constructed and this model is sampled to obtain a new population. In todays EDA, graphical probabilistic and Gaussian models are used most commonly, which are however either computationally infeasible or unrealistic in many real-world problems. Therefore, other kinds of models are appearing. In this paper copulas are used to construct a model of the distribution of feasible solutions. The copula-based EDA (CEDA) is presented withseveral kinds of copulas, and brief comparison with standard evolutionary algorithms is provided.
Czech name
—
Czech description
—

Project
<a href="/en/project/GA201%2F08%2F0802" target="_blank" >GA201/08/0802: Applications of Methods of Knowledge Engineering in Data Mining</a><br>
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

Similar results(10)