the extended postpartum period is the time which is usually given less emphasis regarding family planning by policy makers, service providers and users. however, it is a time with a rising risk of unwanted conception and an often-frustrated desire for contraceptive protection. understanding the contraceptive behaviors, needs and preferences of women in this period is important the main objectiv...

This study considers a real-world multi-period, multi-product production planning problem involving set-up constraints, with random yield and demand. The resulting large-scale multi-stage stochastic mixed-integer model cannot be solved by using the mixed-integer solver of a commercial optimization package. The production planning model is a mixed-integer programming (MIP) model without any spec...

Multi-agent path planning (MAPP) is the problem of collision-free trajectories from start to goal locations for a team agents. This work explores relatively unexplored setting MAPP where streams agents have go through starts and goals with high throughput. We tackle this by formulating new variant called periodic in which timing agent appearances periodic. The objective find plan, set that can ...

This paper investigates a multi-period vehicle loading problem with stochastic information regarding the release dates of items to be transported. The deterministic version of the problem can be formulated as a large-scale set covering problem. Several heuristic algorithms are proposed to generate decision policies for the stochastic optimization model over a long rolling horizon. The resulting...

The present time, denoted at n = 0 and the expiration time, denoted at n = N . The lower case letter n, k (and occasionally i, j,m) will be used to denote the time variable. The notation Sk (or Sn, Si, Sj · · · ) denotes the value of the stock (the underlying) at time k (or time n, i, j · · · ). An important convention we’ll use is that S0 will always be a constant, that is the present value of...

The level of traac and the distribution of traac tend to vary in a telecommunications network. Obtaining a minimum-cost network for multi-hour traac proole is a large-scale optimization problem. We formulate this as a linear programming problem and use this as a basis for comparing the eecacy of the heuristics we introduce. Our heuristic is to view this as a multi-period network planning proble...

Commitments play a central role in multi-agent coordination. However, they are inherently uncertain and it is important to take these uncertainties into account during planning and scheduling. This paper addresses the problem of handling the uncertainty in commitments. We propose a new model of commitment that incorporates the uncertainty, the use of contingency analysis to reduce the uncertain...

Multi-agent planning (MAP) is a major issue in the field of distributed AI. In the multi-agent environment, each agent must consider the constraints from other agents’ actions, when planning. It’s more complicated procedure than single agent planning. The research on Multi-agent planning attracts a lot of attention of researchers from different fields, including sociology, cognitive science, ec...

In this paper we describe an efficient algorithm for solving novel optimization models arising in the context of multi-period capacity expansion of optical networks. We assume the network operator must make investment decisions over a multi-period planning horizon while facing rapid changes in transmission technology, as evidenced by a steadily decreasing per-unit cost of capacity. We deviate f...