2 In this paper, we examine the applicability of spatial optimization as a generative modeling technique for sustainable land use allocation. Specifically, we test whether spatial optimization can be used to generate a number of compromise spatial alternatives that are both feasible and different from each other. We present a new spatial multiobjective optimization model, which encourages effic...

In this paper, the feasible study of the optimal control techniques for the cardiac defibrillation on the anatomical three spatial dimensional rabbit ventricle geometry in the presence of bilateral control constraints. The present work addresses the numerical treatment of multiscale and multidomain simulations of bidomain equations, the description of deriving optimality system, the applicabili...

Sensor networks are increasingly used for tracking, monitoring and observing spatial dynamic phenomena in the real world (e.g. urban area). In order to ensure an efficient deployment of a sensor network, several optimization algorithms have been proposed in recent years. Most of these algorithms often rely on oversimplified sensor models. In addition, they do not consider information on the ter...

One of the most important operations in spatial access needed systems are spatial joins. Using for processing such operations R-tree like structures is intensively studies now. The paper gives contemporary state in this research area and presents effective algorithm for spatial joins which combines both I/O and CPU cost optimization. This algorithm is designed like a multi-step process [4] and ...

In this letter, we propose a framework for fast trajectory planning unmanned aerial vehicles (UAVs). Our is reformulated from an existing bilevel optimization, in which the lower-level problem solves optimal with fixed time allocation, whereas upper-level updates allocation using analytical gradients. The incorporates safety-set constraints (in form of inequality constraints) and cast as convex...