Authors: Davidović, Tatjana 
Affiliations: Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Bee Colony Optimization for Decision Making Problems
First page: 138
Last page: 143
Conference: XLVII Symposium on Operational Research, SYMOPIS 2020, Virtual conference, Sept. 20-23, 2020
Issue Date: 2020
Rank: M63
URL: http://www.mi.sanu.ac.rs/~tanjad/SYMOPIS2020-BCOforDM.pdf
Abstract: 
Artificial Intelligence (AI) is a modern field in computer science that involves automatic learning processes. It usually means that computers are programmed to make some decisions based on the input parameter values as well as on the previous experience. Decision making problems were usually not considered as optimization problems, however, recent trends in merging optimization and AI changed that perspective.Metaheuristics were successfully applied to many decision making problems, such as training of Artificial Neural Networks, medical therapy determination, clustering, feature selection, and satisfiability problems. Several recent papers, considering the application of Bee Colony Optimization (BCO) to the decision making problems,are reviewed here with an emphasis on the author’s results.
Keywords: Artificial intelligence | Decision support systems | Optimization problems | Metaheuristics
Publisher: Faculty of Transport and Traffic Engineering, University of Belgrade

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