Empirical comparison of four MOEAs on bi-objective stochastic MKP with chance constraints and dynamic capacities shows differences in behavior across uncertainty levels and change frequencies.
Chance-constrained multiple- choice knapsack problem: Model, algorithms, and applications.IEEE Transactions on Cybernetics, 54(12): 7969–7980
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On the Use of Bi-Objective Evolutionary Algorithms for the Stochastic MKP under Dynamic Constraints
Empirical comparison of four MOEAs on bi-objective stochastic MKP with chance constraints and dynamic capacities shows differences in behavior across uncertainty levels and change frequencies.