Methoden vergleichen

	Agent-Based Tabu Search	Agentenbasiertes Modellieren (ABM)
Fachgebiet	Simulation	Simulation
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	1989–1995	1970s–1990s (formalized as a field)
Urheber	Glover, F. (tabu search); multi-agent extension by various researchers in the 1990s–2000s	Thomas Schelling and Robert Axelrod (foundational contributions, 1970s–1990s)
Typ	Hybrid metaheuristic — agent-based distributed tabu search	Computational simulation method
Wegweisende Quelle	Glover, F. (1989). Tabu search — Part I. ORSA Journal on Computing, 1(3), 190–206.	Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press.
Aliasnamen	ABTS, Multi-Agent Tabu Search, Distributed Tabu Search, Cooperative Tabu Search	ABM, Ajan Tabanlı Modelleme (ABM), multi-agent simulation, individual-based modeling
Verwandt	4	5
Zusammenfassung	Agent-Based Tabu Search (ABTS) embeds the tabu search metaheuristic inside a multi-agent framework where autonomous agents each run independent or cooperating tabu search threads, sharing promising solutions to escape local optima and collectively explore large combinatorial or continuous search spaces more effectively than a single-thread implementation.	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.