เปรียบเทียบวิธี

	Simulated Annealing แบบคงทน (Robust Simulated Annealing)	Robust Tabu Search
สาขาวิชา	การจำลอง	การจำลอง
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1983 (SA); robust variant emerged 1990s–2000s	1989 (TS); robust variant ~2000s
ผู้ริเริ่ม	Kirkpatrick, Gelatt & Vecchi (SA basis); robust formulation developed across the operations research community	Glover, F. (Tabu Search); robustness extensions by various authors
ประเภท	Metaheuristic with robustness evaluation	Metaheuristic with robustness mechanism
แหล่งต้นตำรับ	Kirkpatrick, S., Gelatt, C. D., Vecchi, M. P. (1983). Optimization by simulated annealing. Science, 220(4598), 671-680.	Glover, F. (1989). Tabu search — Part I. ORSA Journal on Computing, 1(3), 190–206.
ชื่อเรียกอื่น	RSA, Robust SA, Uncertainty-robust simulated annealing, Worst-case simulated annealing	RTS, Robust TS, Uncertainty-aware Tabu Search, Tabu Search under Uncertainty
ที่เกี่ยวข้อง	5	6
สรุป	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.	Robust Tabu Search (RTS) extends the classical Tabu Search metaheuristic by evaluating candidate solutions not only on their nominal objective value but also on their performance under uncertainty. Instead of seeking the best solution for a single scenario, RTS seeks solutions that perform well across a range of scenarios or realizations, trading peak optimality for reliability.