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Showing 1 to 5 of 5 for “"OCBA"”.
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OPTIMAL COMPUTING BUDGET ALLOCATION FOR SIMULATION BASED OPTIMIZATION AND COMPLEX DECISION MAKING
Optimal Computing Budget Allocation (OCBA) considers the problem how to get a best result based on the simulation output under a computing budget constraint. It is not only an efficient ranking and selection procedure for simulation problems with finite candidate solutions but also an attractive …
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Efficient selection of a set of good enough designs with complexity preference
… designs mentioned above. These two algorithms OCBA-mSG and OCBA-bSG allocate the simulation budget efficiently to identify a subset of m simplest and good enough designs among a total of K (K > m) designs. The numerical results show that both OCBA-mSG and OCBA-bSG outperform some other …
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Using metaheuristics with the ranking and selection indifference-zone procedure MMY in problems with many objectives
… IZ and optimal computing budget allocation (OCBA) methods within the broader context of multi-objective simulation optimisation (MOSO). Although OCBA-based MORS approaches have been integrated with metaheuristics, the literature reveals a gap in similar work involving IZ-based methods like …
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New model-based methods for non-differentiable optimization
… with optimal computing budget allocation (CE-OCBA).