Zapis dokaza metode
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.
Izvorni zapis
Citati kopirani doslovno iz izvornog zapisa metode. Ne impliciraju nikakvu provjeru na razini tvrdnje.
Stochastic Multi-Objective Optimization — Multi-criteria optimization under uncertainty with probabilistic objectives or constraints
Taksonomski zapis metode · 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
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