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- W2749426462 abstract "Determining the Nash equilibria (NEs) in a competitive electricity market is a challenging economic game problem. Although finding one equilibrium has been well studied, detecting multiple ones is more practical and difficult, with a few attempts to solve such discrete game problems. However, most of the reallife game problems, such an energy market is a continuous one containing infinite sets of strategy that can be adopted by each player. Therefore, in this paper, a co-evolutionary approach is proposed for detecting multiple NEs in a single run involving continuous games among N-players. Five standard test functions and three IEEE energy market problems in three different scenarios are solved, and their results are compared with those obtained from state-of-the-art algorithms. The results clearly show the benefits of the proposed approach in terms of both the quality of solutions and efficiency." @default.
- W2749426462 created "2017-08-31" @default.
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- W2749426462 date "2018-08-01" @default.
- W2749426462 modified "2023-10-01" @default.
- W2749426462 title "Evolutionary Algorithms for Finding Nash Equilibria in Electricity Markets" @default.
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- W2749426462 doi "https://doi.org/10.1109/tevc.2017.2742502" @default.
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