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Deterministic Simulated Annealing/Evidence
Method evidence record

Deterministic Simulated Annealing

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.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Deterministic Simulated Annealing — Annealing-schedule optimization without stochastic acceptance
Taxonomic method record · process-pipeline / simulation
  • 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
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familySimulated Annealingmachine-suggested · Relational suggestion, not evidence.Same method familyTabu Searchmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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