An approach toward the automated solution of aircraft trajectory optimization problems is introduced and implemented in an interactive program called visual interactive aircraft trajectory optimization (VIATO). This MS Windowscompatible software produces minimum time trajectories to a fixed or moving target. It is easy to use by nonexperts as no previous knowledge of the methods of optimal cont...

Several optimization algorithms specifically applied to the problem of Operation Planning of Hydrothermal Power Systems have been developed and are used. Although providing solutions to various problems encountered, these algorithms have some weaknesses, difficulties in convergence, simplification of the original formulation of the problem, or owing to the complexity of the objective function. ...

Gaussian graphical models with sparsity in the inverse covariance matrix are of significant interest in many modern applications. For the problem of recovering the graphical structure, information criteria provide useful optimization objectives for algorithms searching through sets of graphs or for selection of tuning parameters of other methods such as the graphical lasso, which is a likelihoo...

Advanced simulation software packages can no longer stand alone. Simulation professionals are demanding a toolbox of advanced capabilities and add-on products to allow quick and efficient model building, enhanced graphical displays, and accelerated experimentation and optimization procedures. With the release of WITNESS Release 9, upgrades to the WITNESS VR virtual reality module and Optimizer ...

This paper introduces a Half Mean Particle Swarm Optimization algorithm (HMPSO) and discusses the results of experimentally comparing the performances of SPSO. This is done by replacing one term of original velocity update equation by one new terms based on the linear combination of pbest and gbest. Its performance is compared with the standard PSO (SPSO) by testing it on a 29 benchmark test pr...

A modification of the standard lexicographic method, used for linear multiobjective optimization problems, is presented. An algorithm for solving these kind of problems is developed, for the cases of two and three unknowns. The algorithm uses the general idea of indicating the lexicographic order to objective functions, combined with the graphical method of linear programming. Implementation de...

We investigate dual decomposition approaches for optimization problems arising in low-level vision. Dual decomposition can be used to parallelize existing algorithms, reduce memory requirements and to obtain approximate solutions of hard problems. An extensive set of experiments are performed for a variety of application problems including graph cut segmentation, curvature regularization and mo...

Due to the magnetic nonlinearities, SRM drive control is complicated and normally requires a microprocessor or a DSP. This paper presents a simple and reliable SRM drive using an innovative encoder based on optical graphical programming technology. There is no microprocessor in the drive, no A/D or D/A circuitry, with a drive system that matches the simplicity of the motor construction. It feat...

This report briefly describes an ongoing research related to optimization of allocating software components to heterogeneous computing platform (which includes CPU, GPU and FPGA). Research goal is also presented, along with current hot topics of the research area, related research teams, and finally results and contribution of my research. It involves mathematical modelling which results in goa...

In the study of graphical models, methods based on the concept of variational freeenergy bounds have been widely used for approximating functionals of probability distributions. In this paper, we provide a method based on the same principles that can be applied to problems of stochastic optimization. In particular, this method is based upon the same principles as the generalized EM algorithm. W...