Process / pipelineSimulation / optimization
确定性模拟退火 — 无随机接受的退火调度优化
确定性模拟退火（DSA）是一种优化元启发式算法，它采用经典模拟退火的降温调度结构，但用严格的确定性规则取代了概率性的 Metropolis 接受准则：只接受改进的移动。这产生了一个可重现的、由退火温度调度引导的贪婪下降过程。
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来源
- Rose, K., Gurewitz, E., Fox, G. C. (1990). A deterministic annealing approach to clustering. Pattern Recognition Letters, 11(9), 589-594. DOI: 10.1016/0167-8655(90)90010-Y ↗
- Kirkpatrick, S., Gelatt, C. D., Vecchi, M. P. (1983). Optimization by simulated annealing. Science, 220(4598), 671-680. DOI: 10.1126/science.220.4598.671 ↗
如何引用本页
ScholarGate. (2026, June 3). Deterministic Simulated Annealing — Annealing-schedule optimization without stochastic acceptance. ScholarGate. https://scholargate.app/zh/simulation/deterministic-simulated-annealing
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