방법 비교

	Agent-Based Goal Programming	Agent-Based Multi-Objective Optimization
분야	시뮬레이션	시뮬레이션
계열	Process / pipeline	Process / pipeline
기원 연도	1990s-2000s (hybrid integration)	1990s–2000s
창시자	Charnes, Cooper (GP); Schelling, Holland (ABM foundations)	Bonabeau, Dorigo, Theraulaz; Coello Coello et al.
유형	Hybrid simulation-optimization	Simulation-driven multi-objective search
원전	Charnes, A., Cooper, W. W., & Ferguson, R. O. (1955). Optimal estimation of executive compensation by linear programming. Management Science, 1(2), 138-151.	Bonabeau, E., Dorigo, M., & Theraulaz, G. (2002). Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press. ISBN: 9780195131598
별칭	ABGP, Agent-Based GP, ABM-GP, Agent-Driven Goal Programming	ABMOO, agent-driven MOO, multi-objective ABM optimization, ABMO
관련	5	5
요약	Agent-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.	Agent-based multi-objective optimization (ABMOO) embeds autonomous agents inside a simulation environment and evolves their behavior or parameters to simultaneously optimize two or more conflicting objectives, yielding a Pareto-efficient frontier of solutions rather than a single optimum. It is suited to complex adaptive systems where objectives emerge from micro-level interactions rather than closed-form equations.