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Agent-Based Goal Programming — Simulasi-optimum hibrid dengan agen teragih dan kepuasan pelbagai matlamat

Agent-Based Goal Programming (ABGP) mengintegrasikan simulasi berasaskan agen dengan pengoptimuman pengaturcaraan matlamat untuk memodelkan sistem di mana pelbagai pembuat keputusan autonomi mengejar matlamat bersaing yang diutamakan. Ia membolehkan penyelidik mengkaji bagaimana tingkah laku teragih dan adaptif di peringkat agen membawa kepada hasil peringkat sistem yang diukur terhadap sasaran yang telah ditetapkan, menangkap kedua-dua kemunculan dan kepuasan pelbagai kriteria secara serentak.

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Sumber

  1. Charnes, A., Cooper, W. W., & Ferguson, R. O. (1955). Optimal estimation of executive compensation by linear programming. Management Science, 1(2), 138-151. DOI: 10.1287/mnsc.1.2.138
  2. Macal, C. M., & North, M. J. (2010). Tutorial on agent-based modelling and simulation. Journal of Simulation, 4(3), 151-162. DOI: 10.1057/jos.2010.3

Cara memetik halaman ini

ScholarGate. (2026, June 3). Agent-Based Goal Programming — Hybrid simulation-optimization with decentralized agents and multi-goal satisfaction. ScholarGate. https://scholargate.app/ms/simulation/agent-based-goal-programming

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ScholarGateAgent-based goal programming (Agent-Based Goal Programming — Hybrid simulation-optimization with decentralized agents and multi-goal satisfaction). Dicapai 2026-06-15 daripada https://scholargate.app/ms/simulation/agent-based-goal-programming · Set data: https://doi.org/10.5281/zenodo.20539026