Learning single-machine robust scheduling heuristics subject to stochastic breakdowns using genetic programming;

Robust scheduling in a Just-in-time single machine system with processing time uncertainty;

For batch chemical processes with uncertain processing time,a novel robust scheduling strategy is proposed.

Considering this uncertainty,we propose a neighborhood-based robustness measure for scheduling which is inspired by advances in robust optimization of continuous functions,construct a multi satellites joint robust scheduling model,and put forward a method to estimate priority of observing task.

Finally, by the definition of optimal robust scheduling, we prove that: 1° if ω~ is the optimal robust scheduling of the reference system, then ω~ must be its o.

We show that the controller design is continuous when a map is from the nominal model of the plant to optimal robust regulation controller;moreover,if the set of plants is compact,the map is uniformly continuous.

A robustness measure is formulated to reflect the decision-maker\'s preference of risk aversion,and based on this robustness measure a robust scheduling model combining the expected makespan and the robustness measure is established in this paper.