Sammenlign metoder

	Stokastisk Tabu Search	Tabu Search
Fagområde	Simulering	Optimering
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	1990s	1989
Ophavsperson	Glover, F. (base TS); stochastic extensions by various authors (1990s–2000s)	Fred Glover
Type	Stochastic metaheuristic optimizer	Local-search metaheuristic
Oprindelig kilde	Glover, F. (1990). Tabu search: A tutorial. Interfaces, 20(4), 74-94.	Glover, F. (1989). Tabu Search — Part I. ORSA Journal on Computing, 1(3), 190–206.
Aliasser	STS, Randomized Tabu Search, Probabilistic Tabu Search, Noisy Tabu Search	Tabu Araması (Tabu Search), TS, tabu metaheuristic
Relaterede	5	4
Resumé	Stochastic Tabu Search (STS) is an extension of classical Tabu Search that introduces randomness into the neighborhood exploration and move-selection phases. By combining tabu memory — which forbids recently visited solutions — with probabilistic acceptance or random candidate sampling, STS escapes local optima more effectively and explores rugged solution landscapes that deterministic TS may fail to traverse.	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.