Sammenlign metoder

	Agentbasert tabusøk – distribuert multiagent-metaheuristisk optimering	Tabu Search – Lokalt søk metaheuristikk
Fagfelt	Simulering	Optimering
Familie	Process / pipeline	Process / pipeline
Opprinnelsesår	1989–1995	1989
Opphavsperson	Glover, F. (tabu search); multi-agent extension by various researchers in the 1990s–2000s	Fred Glover
Type	Hybrid metaheuristic — agent-based distributed tabu search	Local-search metaheuristic
Opprinnelig kilde	Glover, F. (1989). Tabu search — Part I. ORSA Journal on Computing, 1(3), 190–206.	Glover, F. (1989). Tabu Search — Part I. ORSA Journal on Computing, 1(3), 190–206.
Alias	ABTS, Multi-Agent Tabu Search, Distributed Tabu Search, Cooperative Tabu Search	Tabu Araması (Tabu Search), TS, tabu metaheuristic
Relaterte	4	4
Sammendrag	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.	Tabu Search is a local-search metaheuristic introduced by Fred Glover in 1989 that uses a tabu list — a short-term memory of recently visited solutions — to prevent cycling and escape local optima. By explicitly forbidding moves that reverse recent decisions, the algorithm explores the search space more broadly and, through long-term memory structures such as aspiration criteria, aims to approach the global optimum even in large, complex combinatorial problems.