Sentence examples for optimal computing from inspiring English sources

The objective of the present work is to propose hybrid algorithm with the application of the nested partitioning (NP) method and the optimal computing budget allocation (OCBA) method to reduce the computational load, hence, to improve the efficiency of supply chain optimization via discrete event simulation.

The proposed approach comprises particle swarm optimization (PSO), constriction factor PSO (CPSO), and elite group optimal computing budget allocation (EGOCBA).

In this process, the optimal computing budget allocation technique is applied so as to fully utilize the computational resource and potentially save the computational time.

An efficient selection procedure is then designed within the optimal computing budget allocation (OCBA) framework.

Our main objective is to arrive at job assignments that could achieve minimum response time and optimal computing node utilization.

Equal allocation (EA), optimal computing budget allocation (OCBA), and OCBA-m are compared over multiple numerical examples.

This work improves the searching efficiency of optimal computing budget allocation (OCBA) in the stochastic multimodal problem.

In an optimal computing budget allocation problem, different measures of selection quality determine how the best set of designs can be identified and how the simulation budget should be allocated among the designs.

With concrete examples of scheduling spaces, segments, and schedules for various multiprocessor network architectures, we showed that individual start reduces the computing period, and our algorithm can find the optimal computing period without exhaustive search.

Most importantly, getting to an optimal compute portfolio requires forethought.

Better information is necessary for creating an optimal compute portfolio but it isn't sufficient.