Stochastic programs are usually hard to solve when applied to real-world problems; a
common approach is to consider the simpler deterministic program in which random …

Solid waste management poses a rich variety of interesting and challenging optimization
problems. Waste managers are required to take short-, medium-, and long-term planning …

Choosing the appropriate sample size in Sample Average Approximation (SAA) method is
very challenging. Inappropriate sample size can lead to the generation of low quality …

Multistage stochastic programs, which involve sequences of decisions over time, are usually
hard to solve in realistically sized problems. Providing bounds for optimal solution may help …

We study a fixed-charge transportation problem under stochastic and dynamic demand. We
propose a multi-stage mixed integer stochastic programming formulation, where the first …

This article concerns a variant of moving target travelling salesman problem where the
number and locations of targets vary with time and realizations of random trajectories …

We introduce a stochastic multi-stage fixed charge transportation problem, in which a
producer has to satisfy an uncertain demand within a deadline. At each time period, a fixed …

In this paper, we consider a recently introduced problem specifically designed for Smart
Cities and City Logistics applications: the multi-path travelling salesman problem with …

In this paper we analyze the effect of two modelling approaches for supply planning
problems under uncertainty: two-stage stochastic programming (SP) and robust optimization …

In this paper, we study a class of deterministically constrained stochastic optimization
problems. Existing methods typically aim to find an $\epsilon $-stochastic stationary point …