方法证据记录
Policy Scenario Particle Swarm Optimization
Policy Scenario Particle Swarm Optimization integrates Particle Swarm Optimization (PSO) with explicit policy scenario analysis. A swarm of candidate policy solutions is evaluated under multiple defined future scenarios, and PSO's velocity-position update rules guide the swarm toward solutions that perform well—or robustly—across all considered scenarios. It is used in energy, environmental, infrastructure, and public resource planning.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Policy Scenario Particle Swarm Optimization — PSO-driven search across alternative policy futures
分类方法记录 · process-pipeline / simulation
- 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
- 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
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