ScholarGate
Assistent

Sammenlign metoder

Gennemgå dine valgte metoder side om side; rækker, der afviger, er fremhævet.

Simulated Annealing×Tabu Search×
FagområdeOptimeringOptimering
FamilieProcess / pipelineProcess / pipeline
Oprindelsesår19831989
OphavspersonFred Glover
TypeProbabilistic metaheuristic / local searchLocal-search metaheuristic
Oprindelig kildeKirkpatrick, S., Gelatt, C.D. & Vecchi, M.P. (1983). Optimization by Simulated Annealing. Science, 220(4598), 671-680. DOI ↗Glover, F. (1989). Tabu Search — Part I. ORSA Journal on Computing, 1(3), 190–206. link ↗
AliasserBenzetimli Tavlama (Simulated Annealing), SA, probabilistic local searchTabu Araması (Tabu Search), TS, tabu metaheuristic
Relaterede54
ResuméSimulated annealing is a probabilistic local-search metaheuristic introduced by Kirkpatrick, Gelatt, and Vecchi in 1983. It models the physical annealing process in metallurgy — where a material is heated and then slowly cooled to reach a low-energy crystalline state — and uses this analogy to escape local optima in combinatorial and continuous optimization problems.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.
ScholarGateDatasæt
  1. v1
  2. 2 Kilder
  3. PUBLISHED
  1. v1
  2. 2 Kilder
  3. PUBLISHED

Gå til søgning Hent slides

ScholarGateSammenlign metoder: Simulated Annealing · Tabu Search. Hentet 2026-06-18 fra https://scholargate.app/da/compare