Overview of ordinal optimization

Concerns optimisation in the general sense of making things better, the principal driver behind all of prescriptive scientific and engineering endeavor. In particular, discrete-event dynamic systems are considered. The approach followed is based on the principles that much computation can be shared in the case of structurally similar systems; that easing the strict requirement of optimality can make an intractable problem tractable; and that for a given performance distribution it is possible to estimate various statistical measures of this distribution via sampling.<<ETX>>

[1]  Yu-Chi Ho,et al.  Ordinal optimization approach to rare event probability problems , 1995, Discret. Event Dyn. Syst..

[2]  Yu-Chi Ho,et al.  Ordinal optimization of DEDS , 1992, Discret. Event Dyn. Syst..

[3]  Yu-Chi Ho,et al.  Effect of correlated estimation errors in ordinal optimization , 1992, WSC '92.

[4]  Yu-Chi Ho,et al.  A New Paradigm for Stochastic Optimization and Parallel Simulation , 1995 .

[5]  Anthony Ephremides,et al.  Ordinal optimization of admission control in wireless multihop voice/data networks via standard clock simulation , 1994, Proceedings of INFOCOM '94 Conference on Computer Communications.

[6]  Yu-Chi Ho,et al.  Massively parallel simulation of a class of discrete event systems , 1992, [Proceedings 1992] The Fourth Symposium on the Frontiers of Massively Parallel Computation.