The paper proposes a generative pedestrian trajectory modeling framework named HISS - Human Interactions in Shared Space. is based on receding horizon optimization approach utilizing behavior and interactions that seeks to capture planning execution. benefit of the proposed dynamic generation it requires minimal calibration data under variety traffic scenarios. In this paper, we formalize sever...

A multi-product fish production planning produces simultaneously multi fish products from several classes of raw resources. The goal in production planning is to meet customer demand over a fixed time horizon divided into planning periods by optimizing the trade-off between economic objectives such as production cost and customer satisfaction level. The major decisions are production and invent...

We developed a strategic-planning model to optimize BMW’s allocation of various products to global production sites over a 12-year planning horizon. It includes the supply of materials as well as the distribution of finished cars to the global markets. It determines the investments needed in the three production departments, body assembly, paint shop, and final assembly, for every site and the ...

the aim of the study was to determine the farmer's behavior in adoption of ipm technologies in rice growing fields. a questionnaire was employed as the tool of survey. population of the study consisted of the farmers taking apart in ipm/ffs participant groups in gilan and mazandaran provinces each with 3 years of experience in ipm. from among them, 305 were selected as the research sample....

We provide the first formalization of self-interested multiagent planning using expectation-maximization (EM). Our formalization in the context of infinite-horizon and finitely-nested interactivePOMDP (I-POMDP) is distinct from EM formulations for POMDPs and other multiagent planning frameworks. Specific to I-POMDPs, we exploit the graphical model structure and present a new approach based on b...

Scheduling product batches in pipelines is a very complex task with many constraints to be considered. Several papers have been published on the ubject during the last decade. Most of them are based on large-size MILP discrete time scheduling models whose computational efficiency greatly iminishes for rather long time horizons. Recently, an MILP continuous problem representation in both time an...

This thesis presents a novel framework for safe online trajectory planning of unmanned vehicles through partially unknown environments. The basic planning problem is formulated as a receding horizon optimization problem using mixed-integer linear programming (MILP) to incorporate kino-dynamic, obstacle avoidance and collision avoidance constraints. Agile vehicle dynamics are captured through a ...

The integration of constraint solvers into proof planning has pushed the problem solving horizon. Proof planning beneets from the general functionalities of a constraint solver such as consistency checks, constraint inference, as well as the search for instantiations. However, oo-the-shelf constraint solvers are usually geared towards their typical applications. Since proof planning diiers from...