In this paper, an optimization model for VE risk management based on distributed decision making model is introduced. This optimization model has two levels, which describe the decision processes. In order to solve the proposed model effectively, this work then applies two powerful artificial intelligence optimization techniques known as evolutionary algorithms EA and swarm intelligence SI. Experiments present comparative studies on the VE risk management problem for one EA and three stateof-the-art SI algorithms.
artificial intelligence, evolutionary algorithm, genetic algorithm, swarming intelligence, risk management model, the method of particle swarm
"Upravlinnia ryzykamy virtualnoho pidpryiemstva z vykorystanniam shtuchnoho intelektu" ,
Information Processing Systems,