Introduction: Nowadays tendency to apply more degrees of freedom in high-tech radiotherapy systems, and consequent complex process to optimize dose calculation and delivery algorithms, is a challenge of radiation therapy optimization. Faster MLC speed, dose rate, Gantry angle variation, and other degrees, which have been utilized in IMRT, IMAT, VMAT, improved modulation of inte...

This report introduces the “Time Stepping Package for Optimization”, or TSOpt, which is an interface for time-stepping simulation written in C++. It packages a simulator together with its derivatives (“sensitivities”) and adjoint derivatives with respect to simulation parameters in a single object called a Jet, which can be used in conjunction with an optimization algorithm to solve a simulatio...

Over the past decade, a large number of academics and start-ups have devoted themselves to developing kites as a renewable energy source. Determining the trajectories the kite should follow is a modeling and optimization challenge. We present a dynamic model and analyse how uncertainty affects the resulting optimization problem. We show how measurements can be used to rapidly correct the model-...

(PUBLISHED AT ICASSP'95) Nelson Luiz Passos and Edwin Hsing-Mean Sha Dept. of Computer Science & Engineering University of Notre Dame Notre Dame, IN 46556 ABSTRACT Two-dimensional lters are commonly used in digital image processing applications. These lters have the characteristic of processing recursive sets of instructions requiring high computational speed. In this paper, these sets are mode...

We describe an Ant Colony Optimization (ACO) algorithm for solving a single machine scheduling problem. In the operating situation modeled, setup times are sequence dependent and the objective is to minimize total tardiness. This problem has previously been treated by Rubin & Ragatz [1995] and by Tan et al. [2000] among others. A new feature using look-ahead information in the transition rule o...

This paper provides just a generalization of Becker‟s theory of allocation of time, allowing joint production, throughout a 2-step optimization process, compatible and avoiding criticism in the sense of Pollak. The model yields some interesting results, analyzed for the static vision. After doing it, we just expand the vision to a dynamic context, where the stock of time and goods are introduce...

In this paper we consider a fractional optimization problem that minimizes the ratio of two quadratic functions subject to a strictly convex quadratic constraint. First using the extension of Charnes-Cooper transformation, an equivalent homogenized quadratic reformulation of the problem is given. Then we show that under certain assumptions, it can be solved to global optimality using semidefini...

In this paper proposes a fuzzy multi-objective hybrid Genetic and Bee colony optimization algorithm(GA-BCO) to find the optimal restoration of loads of power distribution network under fault.Restoration of distribution systems is a complex combinatorial optimization problem that should beefficiently restored in reasonable time. To improve the efficiency of restoration and facilitate theactivity...