So sánh phương pháp

	Thuật toán Tabu Mạnh mẽ	Robust Particle Swarm Optimization
Lĩnh vực	Mô phỏng	Mô phỏng
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1989 (TS); robust variant ~2000s	2000s
Người khởi xướng	Glover, F. (Tabu Search); robustness extensions by various authors	Kennedy, J. & Eberhart, R. C. (PSO); robustness extensions by multiple authors, 2000s
Loại	Metaheuristic with robustness mechanism	Metaheuristic — robust swarm-based optimizer
Công trình gốc	Glover, F. (1989). Tabu search — Part I. ORSA Journal on Computing, 1(3), 190–206.	Kennedy, J., Eberhart, R. C., & Shi, Y. (2001). Swarm Intelligence. Morgan Kaufmann Publishers. ISBN: 9781558605954
Tên gọi khác	RTS, Robust TS, Uncertainty-aware Tabu Search, Tabu Search under Uncertainty	Robust PSO, RPSO, Uncertainty-robust PSO, PSO with robustness
Liên quan	6	6
Tóm tắt	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.	Robust Particle Swarm Optimization (Robust PSO) extends the classical PSO metaheuristic to explicitly account for uncertainty in the objective function, constraints, or decision variables. Rather than optimizing a single nominal objective, each candidate solution is evaluated over a set of uncertainty scenarios, and fitness is judged by a robustness criterion such as worst-case performance or expected value, yielding solutions that remain near-optimal even when conditions deviate from nominal assumptions.