So sánh phương pháp

	Thuật toán Harmony Search	Tối ưu hóa Lượng tử
Lĩnh vực	Tối ưu hóa	Tối ưu hóa
Họ	Process / pipeline	Process / pipeline
Năm ra đời	2001	1997
Người khởi xướng	Zong Woo Geem, Joong Hoon Kim, G. V. Loganathan	Rainer Storn & Kenneth Price
Loại	Metaheuristic population-based optimization	Population-based stochastic metaheuristic
Công trình gốc	Geem, Z. W., Kim, J. H., & Loganathan, G. V. (2001). A New Heuristic Optimization Algorithm: Harmony Search. Simulation, 76(2), 60–68.	Storn, R. & Price, K. (1997). Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces. Journal of Global Optimization, 11(4), 341–359.
Tên gọi khác	HS algorithm, Harmoni Araması (Harmony Search), music-inspired optimization	DE algorithm, Diferansiyel Evrim (DE), DE optimization
Liên quan	5	5
Tóm tắt	Harmony Search (HS) is a population-based metaheuristic optimization algorithm introduced by Geem, Kim, and Loganathan in 2001. It mimics the improvisation process of jazz musicians seeking a perfect state of harmony, using three operators — memory consideration, pitch adjustment, and random selection — to generate candidate solutions. The algorithm applies to both continuous and discrete variables and has found wide use in engineering design, water distribution network optimization, and combinatorial problems.	Differential Evolution (DE), introduced by Rainer Storn and Kenneth Price in 1997, is a population-based stochastic optimisation algorithm designed for continuous parameter spaces. It generates candidate solutions by combining vector differences between existing population members, making it a powerful and parameter-lean alternative to Genetic Algorithms and Particle Swarm Optimisation when the search landscape is non-convex, multimodal, or poorly suited to gradient-based methods.