ScholarGate
Pembantu

Bandingkan kaedah

Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.

Pencarian Tabu Stokastik×Simulated Annealing×
BidangSimulasiPengoptimuman
KeluargaProcess / pipelineProcess / pipeline
Tahun asal1990s1983
PengasasGlover, F. (base TS); stochastic extensions by various authors (1990s–2000s)
JenisStochastic metaheuristic optimizerProbabilistic metaheuristic / local search
Sumber perintisGlover, F. (1990). Tabu search: A tutorial. Interfaces, 20(4), 74-94. DOI ↗Kirkpatrick, S., Gelatt, C.D. & Vecchi, M.P. (1983). Optimization by Simulated Annealing. Science, 220(4598), 671-680. DOI ↗
AliasSTS, Randomized Tabu Search, Probabilistic Tabu Search, Noisy Tabu SearchBenzetimli Tavlama (Simulated Annealing), SA, probabilistic local search
Berkaitan55
RingkasanStochastic 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.Simulated 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.
ScholarGateSet data
  1. v1
  2. 2 Sumber
  3. PUBLISHED
  1. v1
  2. 2 Sumber
  3. PUBLISHED

Pergi ke carian Muat turun slaid

ScholarGateBandingkan kaedah: Stochastic Tabu Search · Simulated Annealing. Dicapai 2026-06-19 daripada https://scholargate.app/ms/compare