transition probabilities. Our approach is based on an optimization model. More specifically we consider two competing objectives …

mitigate the damages and save people’s lives. Optimization and simulation modeling have become powerful and useful tools to … help decision makers tackle problems related to disaster relief supply chain. This paper reviews optimization and … simulation models used in the field of disaster relief supply chain. We review the literature of the facility location …

We study properties of the solutions to a parametrized constrained optimization problem in Hilbert spaces. A special …

strategy that incorporates both environmental and economic goals. Furthermore, optimization using only a single receptor at a … time resulted in significantly higher reduction in emissions compared to optimization that incorporates all the twelve …-receptor optimization) would not penalize the sources of emission compared to locally optimal emission reduction strategy (i.e., single …

We study properties of the solutions to a parametrized constrained optimization problem in Hilbert spaces. A special …

. This optimization method requires that players adopt a particular type of probability measure space. Here, we introduce … optimization methods to locate novel equilibria. These variational methods can reconcile game theoretic prediction and observed … human behaviours, as we illustrate by resolving the chain store paradox. Our generalized optimization analysis has …