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एजेंट-आधारित लक्ष्य प्रोग्रामिंग×लक्ष्य प्रोग्रामिंग×
क्षेत्रअनुकरणनिर्णयन
परिवारProcess / pipelineMCDM
उद्भव वर्ष1990s-2000s (hybrid integration)1955
प्रवर्तकCharnes, Cooper (GP); Schelling, Holland (ABM foundations)Charnes, A., Cooper, W. W.
प्रकारHybrid simulation-optimizationMulti-objective optimisation — weighted/lexicographic goal deviation minimisation
मौलिक स्रोतCharnes, 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 ↗
उपनामABGP, Agent-Based GP, ABM-GP, Agent-Driven Goal Programming
संबंधित58
सारांशAgent-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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