Optimal computing budget allocation
Semantic Scholar uses AI to extract papers important to this topic.
Particle Swarm Optimization (PSO) is a population-based metaheuristic that can be applied to optimize controllers for multiple… (More)
Previous research in ranking and selection focused on selecting the best design and subset selection. Little research has been… (More)
Particle Swarm Optimization (PSO) is a population-based algorithm whose performance deteriorates in optimization problems subject… (More)
In this paper, we develop an optimal computing budget allocation (OCBA) algorithm for selecting a sub-set of designs under the… (More)
Simulation has been applied in many optimization problems to evaluate their solutions' performance under stochastic environment… (More)
- ACM Trans. Model. Comput. Simul.
We propose to improve the efficiency of simulation optimization by integrating the notion of optimal computing budget allocation… (More)
We consider the optimal computing budget allocation (OCBA) problem where the simulated designs are correlated. The exact optimal… (More)
Simulation plays a vital role in identifying the best system design from among a set of competing designs. To improve simulation… (More)
- Simulation Modelling Practice and Theory
Ordinal optimization has emerged as an efficient technique for simulation and optimization, converging exponentially in many… (More)
- Winter Simulation Conference
This paper deals with ranking and selection problem via simulation. We present an optimal computing budget allocation technique… (More)