Bayesian Optimization (BO) methods are often used to optimize an unknown function f(•) that is costly to evaluate. They typically work in an iterative manner. In each iteration, given a set of observation points, BO alg ...
This dissertation addresses a hybrid-flow shop scheduling problem with dual resource constraints in a supply chain. Most of the traditional scheduling problems deal with machine as the only resource. However, other resou ...
The transportation of logs from the forest to the mill accounts for 25-50% of
the delivered cost of wood, depending mostly on haul distance. Decision support
systems (DSS) for log truck scheduling and dispatching have ...