Method evidence record

Robust Simulated Annealing

Robust Simulated Annealing (RSA) adapts the classical simulated annealing metaheuristic to seek solutions that perform well not just under nominal conditions but across the full range of uncertain or adversarial parameter values. By embedding a robustness evaluation — worst-case, expected-case, or regret-based — into the SA acceptance step, RSA trades some nominal optimality for resilience, making it valuable when problem parameters are imprecisely known or subject to environmental variation.

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Robust Simulated Annealing — Uncertainty-aware stochastic local search for robust solutions

Taxonomic method record · process-pipeline / simulation

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
Ben-Tal, A., El Ghaoui, L., Nemirovski, A. (2009). Robust Optimization. Princeton University Press, Princeton, NJ. · ISBN 9780691143682

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Related methods

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Taxonomic bucketRobust Genetic Algorithmmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Multi-Objective Optimizationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Particle Swarm Optimizationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Tabu Searchmachine-suggested · Relational suggestion, not evidence.Same method familySimulated Annealingmachine-suggested · Relational suggestion, not evidence.