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এজেন্ট-ভিত্তিক লক্ষ্য প্রোগ্রামিং×Stochastic Goal Programming×
ক্ষেত্রঅনুকরণঅনুকরণ
পরিবারProcess / pipelineProcess / pipeline
উদ্ভবের বছর1990s-2000s (hybrid integration)1968
প্রবর্তকCharnes, Cooper (GP); Schelling, Holland (ABM foundations)Contini, B. (building on Charnes & Cooper's chance-constrained programming)
ধরনHybrid simulation-optimizationStochastic multi-goal optimization
মৌলিক উৎসCharnes, A., Cooper, W. W., & Ferguson, R. O. (1955). Optimal estimation of executive compensation by linear programming. Management Science, 1(2), 138-151. DOI ↗Contini, B. (1968). A stochastic approach to goal programming. Operations Research, 16(3), 576–586. DOI ↗
অপর নামABGP, Agent-Based GP, ABM-GP, Agent-Driven Goal ProgrammingSGP, Stochastic GP, Chance-Constrained Goal Programming, Probabilistic Goal Programming
সম্পর্কিত56
সারসংক্ষেপAgent-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.Stochastic Goal Programming (SGP) extends classical goal programming to handle uncertainty in goal targets, constraint coefficients, or right-hand-side parameters. By incorporating probabilistic constraints and stochastic objective components, it finds solutions that satisfy multiple goals at acceptable probability levels, making it suitable for decision problems where data are inherently uncertain or variable.
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ScholarGateপদ্ধতির তুলনা করুন: Agent-based goal programming · Stochastic Goal Programming. 2026-06-15 তারিখে সংগৃহীত, উৎস: https://scholargate.app/bn/compare