Backend geometries on chips contain a wide variety of features. We are developing a full-chip reliability simulator for low-k dielectric breakdown that takes into account the vulnerable area, linewidth, vias, and line edge roughness. The simulator provides a link between test structure results and predictions of chip dielectric lifetime. However, these factors may not be sufficient for large ch...

This paper considers the stabilization of a synchronous machine connected to an infinite bus via a PID. The PID parameters are tuned using hybrid Particle Swarm-Bacteria Foraging Optimization (PSO-BFA). Simulation results are introduced with and without the proposed controller. Also, a comparison study is introduced when using classical PID, only bacteria foraging optimization and when using hy...

Dynamic optimization can be used to determine optimal input profiles for dynamic processes. Due to plant-model mismatch and disturbances, the optimal inputs determined through model-based optimization will, in general, not be optimal for the plant. Modifier adaptation is a methodology that uses measurements to achieve optimality in the presence of uncertainty. Modifier-adaptation schemes have b...

optimization through simulation is considered anefficient tool in dealing with optimization problems. it’s a tool that iscapable to cover real world problems to a much more complete way than the otheroptimization tools. the problem of this tool is the necessity of heavyprocessing computations. this problem is caused not only since the simulationprocess is time consuming, but the objective funct...

Properly allocation of virtual machines is important for computing infrastructures scheduling. This paper presents systemic method on virtual machine array optimization control based on artificial intelligence and matrix control theory. According to request service data from users to provide proper VMs roughly via intelligent pattern recognition based on RBFNN, the data is sent to a multiple-ta...

A Reliability-Based Design Optimization (RBDO) framework is presented that accounts for stochastic variations in structural parameters and operating conditions. The reliability index calculation is itself an iterative process, potentially employing an optimization technique to find the shortest distance from the origin to the limit-state boundary in a standard normal space. Monte Carlo simulati...

Discrete event simulation systems (DESS) are widely used in many diverse areas such as computer-communication networks, exible manufacturing systems, project evaluation and review techniques (PERT), and ow networks. Because of their complexity , such systems are typically analyzed via Monte Carlo simulation methods. This paper deals with optimization of complex computer simulation models involv...

Multiple-target tracking (MTT) in the presence of spurious measurements poses difficult computational challenges related to the measurement-to-track data association problem. Different solution approaches have been proposed to tackle this problems, including various approximations and heuristic optimization tools. The Cross Entropy method is a recent optimization heuristic that has proved usefu...