方法证据记录
Stochastic Multi-Objective Optimization
Stochastic Multi-Objective Optimization (SMOO) is a class of methods that simultaneously optimizes two or more conflicting objectives when parameters, costs, or constraints are uncertain or random. Rather than a single optimal solution, it produces a Pareto front of non-dominated solutions, each representing a different balance among objectives under the modeled uncertainty.
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。
Stochastic Multi-Objective Optimization — Multi-criteria optimization under uncertainty with probabilistic objectives or constraints
分类方法记录 · process-pipeline / simulation
- Deb, K. (2001). Multi-Objective Optimization Using Evolutionary Algorithms. Wiley, Chichester. · ISBN 9780471873396
- Caramia, M., Dell'Olmo, P. (2008). Multi-Objective Management in Freight Logistics. Springer, London. · DOI 10.1007/978-1-84800-382-8
精选声明
声明已持久化到证据分类账中，每个声明都有自己的评估。
尚无精选声明
当分类账中没有声明时，此视图不会自行创建声明评估。
相关方法
从方法图中生成，显示为机器建议的关系 — 不推断任何证据声明。