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Pengoptimuman Kawanan Zarah Senario Polisi — Pencarian dipacu PSO merentasi masa depan polisi alternatif

Pengoptimuman Kawanan Zarah Senario Polisi mengintegrasikan Pengoptimuman Kawanan Zarah (PSO) dengan analisis senario polisi eksplisit. Sekumpulan calon penyelesaian polisi dinilai di bawah pelbagai senario masa depan yang ditetapkan, dan peraturan kemas kini halaju-kedudukan PSO membimbing kawanan ke arah penyelesaian yang berprestasi baik—atau teguh—merentasi semua senario yang dipertimbangkan. Ia digunakan dalam perancangan tenaga, alam sekitar, infrastruktur, dan sumber awam.

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Sumber

  1. Kennedy, J., Eberhart, R. (1995). Particle swarm optimization. Proceedings of the IEEE International Conference on Neural Networks, Perth, Australia, pp. 1942–1948. DOI: 10.1109/ICNN.1995.488968
  2. Poli, R., Kennedy, J., Blackwell, T. (2007). Particle swarm optimization: An overview. Swarm Intelligence, 1(1), 33–57. DOI: 10.1007/s11721-007-0002-0

Cara memetik halaman ini

ScholarGate. (2026, June 3). Policy Scenario Particle Swarm Optimization — PSO-driven search across alternative policy futures. ScholarGate. https://scholargate.app/ms/simulation/policy-scenario-particle-swarm-optimization

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ScholarGatePolicy Scenario Particle Swarm Optimization (Policy Scenario Particle Swarm Optimization — PSO-driven search across alternative policy futures). Dicapai 2026-06-15 daripada https://scholargate.app/ms/simulation/policy-scenario-particle-swarm-optimization · Set data: https://doi.org/10.5281/zenodo.20539026