So sánh phương pháp

	Tối ưu hóa Bầy đàn Hạt (PSO)	Thuật toán di truyền
Lĩnh vực	Tối ưu hóa	Tối ưu hóa
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1995	1975
Người khởi xướng	—	John Henry Holland
Loại	Population-based metaheuristic / swarm intelligence	Population-based metaheuristic
Công trình gốc	Kennedy, J. & Eberhart, R. (1995). Particle Swarm Optimization. IEEE International Conference on Neural Networks (ICNN), 1942-1948.	Holland, J.H. (1975). Adaptation in Natural and Artificial Systems. University of Michigan Press.
Tên gọi khác	PSO, swarm intelligence optimization, Parçacık Sürü Optimizasyonu (PSO)	GA, evolutionary algorithm, Genetik Algoritma — Evrimsel Optimizasyon
Liên quan	6	5
Tóm tắt	Particle Swarm Optimization (PSO) is a population-based metaheuristic algorithm introduced by Kennedy and Eberhart in 1995, inspired by the collective movement of bird flocks and fish schools. Each candidate solution — called a particle — moves through the search space by updating its velocity and position based on its own best experience and the best experience of the entire swarm, enabling fast convergence across continuous optimization problems.	A genetic algorithm (GA) is a population-based metaheuristic optimization method introduced by John Henry Holland (1975) that mimics the principles of natural selection. It maintains a population of candidate solutions and iteratively improves them through selection, crossover, and mutation operators, making it especially powerful on discontinuous, non-convex, and multi-modal search spaces where classical gradient-based methods fail.