TY  - Data
T1  - Enterprise competitive continuous strategy game data set based on multi-objective complex multi-agent game model based on swarm intelligence evolutionary learning
A1  - chen chun hua
PY  - 2026
DA  - 2026-07-09
PB  - National Cryosphere Desert Data Center
AB  - The data content is a static non-cooperative continuous game model in which 50 companies participate. The decision variable of each company is output (interval [0,100]), and the global constraint is that the total output does not exceed 100. The individual cost coefficient of the enterprise is composed of u_i (2~10 uniform random) and v_i (2~4 uniform random), forming a complete game example. There is a unique analytical solution to the Nash equilibrium in this game, which can be used to verify the accuracy of the equilibrium solution in the continuous strategy space.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/682dfe41-e8ed-4f96-b791-c02426c13deb
ER  -