Tag: Multi-objective optimization
Probabilistic branch-and-bound can approximate Pareto-optimal sets
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in AlgorithmWhat the study found The study presents Multiple Objective Probabilistic Branch and Bound with Single Observation (MOPBnB(so)), an algorithm for approximating the Pareto optimal set and the associated efficient frontier in stochastic multi-objective optimization problems. Why the authors say this matters The authors indicate that the algorithm is intended to handle noisy objective evaluations more…
Intelligent system supports multicriteria investment project optimization
Researchers developed an intelligent software system using network models and vector optimization to manage investment projects adaptively under multiple objectives and uncertainty.
Optimized tunable acoustic switch showed improved transmission control
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in AcousticsMultiobjective optimization of tunable acoustic switches using multiresonant asymmetric scatterers in sonic crystals, combining Bragg and local resonance bandgaps for switchable transmission.
Pareto optimization selected reservoir size and location for flood reduction
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in EngineeringOptimize urban flood mitigation using Pareto optimization for distributed small-scale reservoirs. Balance cost and flood reduction effectively.
