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Numerical results indicate the approach yields significant savings in computation time above and beyond the use of ordinal optimization.
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The improvement in efficiency is explained using the concept of ordinal optimization.
In this paper, we present a new computing budget allocation approach that further enhances the efficiency of ordinal optimization.
In our data, we observed several indicators of CRS that required the use of ordinal scale to rank this variable.
A further strength concerns the use of ordinal regression modelling.
Why is the use of ordinal outcome analysis beneficial?
Many other selection rules are also frequently used in the ordinal optimization literature.
Then, an optimization approach based on the ordinal optimization (OO) philosophy and particle swarm optimization (PSO) is used to search in the continuous space of the operational variables.
We have proposed a learning-based ordinal optimization approach to tackle this problem.
Consequently, the author acknowledges that the use of an ordinal panel data model is inappropriate for a realistic econometric model of load factor.
Depending on the findings, use of an ordinal measure will also be considered.
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