Number of the records: 1
Estimation of distribution algorithms with copula-based models
- 1.
SYSNO ASEP 0366053 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Estimation of distribution algorithms with copula-based models Author(s) Bajer, Lukáš (UIVT-O) SAI, RID, ORCID
Holeňa, Martin (UIVT-O) SAI, RIDSource Title Informačné technológie - aplikácie a teória. - Seňa : PONT s.r.o., 2011 / Lopatková M. - ISBN 978-80-89557-01-1 Pages s. 57-61 Number of pages 5 s. Action ITAT 2011. Conference on Theory and Practice of Information Technologies Event date 17.09.2011-21.09.2011 VEvent location Ždiar Country SK - Slovakia Event type EUR Language eng - English Country SK - Slovakia Keywords estimation of distribution algorithms ; copula theory Subject RIV IN - Informatics, Computer Science R&D Projects GA201/08/0802 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10300504 - UIVT-O (2005-2011) Annotation 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 of solutions 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 with several kinds of copulas, and brief comparison with standard evolutionary algorithms is provided. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2012
Number of the records: 1