Abstract
Aiming to respond to a real-world complex problem, optimizing an electricity mix production, MixSimulator has been developed. This paper compares two approaches: the classic method and the multi-agent system based method (MAS). Each agent performs various functions such as producing electricity and updating the availability (power plants), predicting the oncoming demand, and handling all the information to provide optimized planning of the production. It takes into account technological, economic, and environmental constraints. Evolutionary algorithms (DE, (1+1)-ES and NgOpt) from the Nevergrad library are used to generate solutions. The results show that the multi-agent system based method outperforms the classic one thanks to its ability to react to events and provide dynamic schedule.
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Andriamalala, S.R., Andriamizakason, T.A., Rasoanaivo, A. (2023). Multi-agent vs Classic System of an Electricity Mix Production Optimization. In: Correia, J., Smith, S., Qaddoura, R. (eds) Applications of Evolutionary Computation. EvoApplications 2023. Lecture Notes in Computer Science, vol 13989. Springer, Cham. https://doi.org/10.1007/978-3-031-30229-9_8
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