Structure Learning in Bayesian Networks Using Asexual Reproduction Optimization
نویسندگان
چکیده
i * Corresponding Author, A. R. Khanteymoori is with the Department of Computer Engineering and Information Technology, Amirkabir University of Technology, Tehran, Iran (e-mail: [email protected]). ii M. M. Homayounpour is with the Department of Computer Engineering and Information Technology, Amirkabir University of Technology, Tehran, Iran (e-mail: [email protected]). iii M. B. Menhaj is with the Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran (e-mail: [email protected]). ABSTRACT
منابع مشابه
Structure Learning in Bayesian Networks Using Asexual Reproduction Optimization
A new structure learning approach for Bayesian networks (BNs) based on asexual reproduction optimization (ARO) is proposed in this letter. ARO can be essentially considered as an evolutionary based algorithm that mathematically models the budding mechanism of asexual reproduction. In ARO, a parent produces a bud through a reproduction operator; thereafter the parent and its bud compete to survi...
متن کاملOptimal operation of multiple microgrids under network reliability based on asexual reproduction algorithm
Today, the number of micro-distribution networks is increasing. Meanwhile, for various reasons that can be justified in the field of smart grids and electricity market, the optimal operation of these microgrids is of great importance. On the other hand, the existence of high-intensity accidents has been the reason for the creation of micro-networks in many countries, which shows the importance ...
متن کاملAn Introduction to Inference and Learning in Bayesian Networks
Bayesian networks (BNs) are modern tools for modeling phenomena in dynamic and static systems and are used in different subjects such as disease diagnosis, weather forecasting, decision making and clustering. A BN is a graphical-probabilistic model which represents causal relations among random variables and consists of a directed acyclic graph and a set of conditional probabilities. Structure...
متن کاملA Surface Water Evaporation Estimation Model Using Bayesian Belief Networks with an Application to the Persian Gulf
Evaporation phenomena is a effective climate component on water resources management and has special importance in agriculture. In this paper, Bayesian belief networks (BBNs) as a non-linear modeling technique provide an evaporation estimation method under uncertainty. As a case study, we estimated the surface water evaporation of the Persian Gulf and worked with a dataset of observations ...
متن کاملA Surface Water Evaporation Estimation Model Using Bayesian Belief Networks with an Application to the Persian Gulf
Evaporation phenomena is a effective climate component on water resources management and has special importance in agriculture. In this paper, Bayesian belief networks (BBNs) as a non-linear modeling technique provide an evaporation estimation method under uncertainty. As a case study, we estimated the surface water evaporation of the Persian Gulf and worked with a dataset of observations ...
متن کامل