Sammenlign metoder

	Deterministisk simulert utglødning	Tabu Search – Lokalt søk metaheuristikk
Fagfelt	Simulering	Optimering
Familie	Process / pipeline	Process / pipeline
Opprinnelsesår	1990	1989
Opphavsperson	Rose, K., Gurewitz, E., Fox, G. C.	Fred Glover
Type	Deterministic metaheuristic — annealing schedule without probabilistic acceptance	Local-search metaheuristic
Opprinnelig kilde	Rose, K., Gurewitz, E., Fox, G. C. (1990). A deterministic annealing approach to clustering. Pattern Recognition Letters, 11(9), 589-594.	Glover, F. (1989). Tabu Search — Part I. ORSA Journal on Computing, 1(3), 190–206.
Alias	DSA, Deterministic Annealing, Greedy Annealing, Temperature-Scheduled Descent	Tabu Araması (Tabu Search), TS, tabu metaheuristic
Relaterte	2	4
Sammendrag	Deterministic Simulated Annealing (DSA) is an optimization metaheuristic that adopts the cooling-schedule structure of classical simulated annealing but replaces the probabilistic Metropolis acceptance criterion with a strictly deterministic rule: only improving moves are accepted. This yields a reproducible, greedy-descent procedure guided by an annealing temperature schedule.	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.