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حوزهشبیه‌سازیتصمیم‌گیری
خانوادهProcess / pipelineMCDM
سال پیدایش1990s-2000s (hybrid integration)1955
پدیدآورCharnes, Cooper (GP); Schelling, Holland (ABM foundations)Charnes, A., Cooper, W. W.
نوعHybrid simulation-optimizationMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
منبع بنیادینCharnes, A., Cooper, W. W., & Ferguson, R. O. (1955). Optimal estimation of executive compensation by linear programming. Management Science, 1(2), 138-151. DOI ↗Charnes, A., Cooper, W. W. (1955). Optimal estimation of executive compensation by linear programming. Management Science DOI ↗
نام‌های دیگرABGP, Agent-Based GP, ABM-GP, Agent-Driven Goal Programming
مرتبط58
خلاصهAgent-Based Goal Programming (ABGP) integrates agent-based simulation with goal programming optimization to model systems where multiple autonomous decision-makers pursue competing, prioritized goals. It enables researchers to study how decentralized, adaptive behavior at the agent level leads to system-level outcomes measured against predefined targets, capturing both emergence and multi-criteria satisfaction simultaneously.GOAL-PROGRAMMING (Goal Programming — Minimise deviations from multiple aspiration levels) is a ranking multi-criteria decision-making (MCDM) method introduced by Charnes, A., Cooper, W. W. in 1955. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateمقایسهٔ روش‌ها: Agent-based goal programming · GOAL-PROGRAMMING. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare