手法を比較

	Multi-Objective Agent-Based Modeling	Agent-Based Modeling (ABM)
分野	シミュレーション	シミュレーション
系統	Process / pipeline	Process / pipeline
提唱年	2001-2006	1970s–1990s (formalized as a field)
提唱者	Deb, K.; Tesfatsion, L. et al.	Thomas Schelling and Robert Axelrod (foundational contributions, 1970s–1990s)
種類	Simulation-optimization hybrid	Computational simulation method
原典	Deb, K. (2001). Multi-Objective Optimization Using Evolutionary Algorithms. John Wiley & Sons, Chichester. ISBN: 9780471873396	Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press.
別名	MO-ABM, Multi-objective ABM, Pareto-based agent-based modeling, Multi-objective agent simulation	ABM, Ajan Tabanlı Modelleme (ABM), multi-agent simulation, individual-based modeling
関連	4	5
概要	Multi-Objective Agent-Based Modeling (MO-ABM) couples agent-based simulation with multi-objective optimization to simultaneously optimize several conflicting performance criteria across complex adaptive systems. Autonomous agents interact according to behavioral rules while an optimizer searches for parameter configurations that achieve Pareto-optimal trade-offs among competing system-level goals.	Agent-based modeling (ABM) is a computational simulation method, formalized through the work of Thomas Schelling and Robert Axelrod in the 1970s–1990s, that simulates the behavior of complex systems by specifying and running autonomous agents — individuals, firms, cells, or any bounded entity — whose local interactions with each other and with their environment collectively produce global, system-level patterns that could not be predicted from any single agent's rules alone.