For specified program behavior and clocking overhead, there is an optimum cycle time. This can be improved somewhat by using wave pipelining, but program unpredictability ultimately limits performance by restricting both cycle time and instruction level parallelism. Algorithm and application implementation should be based on understanding of program behavior, CAD tools, and technology. System o...

Particle Swarm Optimization (PSO) is a very popular optimization technique, but it suffers from a major drawback of a possible premature convergence i.e. convergence to a local optimum and not to the global optimum. This paper attempts to improve on the reliability of PSO by addressing the drawback. This problem of premature convergence is more probable with the problems, which have the global ...

The first contribution of this paper is a theoretical investigation of combinatorial optimization problems. Their landscapes are specified by the set of neighborhoods of all points of the search space. The aim of the paper consists of the estimation of the number N of local optima and the distributions of the sizes (αj) of their attraction basins. For different types of landscapes we give preci...

In a previous research, we presented the Grid Method and confirmed it as a systematic and efficient problem formulation method for the task-oriented design of robot kinematics. However, our previous research was limited in two ways. First, it gave only a local optimum due to its use of a local optimization technique. Second, it used constant weights for a cost function chosen by the manual weig...

Permanent magnet synchronous motors are efficient motors, which have widespread applications in electric industry due to their noticeable features. One of the interesting applications of such motors is in underwater vehicles. In these cases, reaching to minimum volume and high torque of the motor are the major concern. Design optimization can enhance their merits considerably, thus reduce volum...

Permanent magnet synchronous motors are efficient motors, which have widespread applications in electric industry due to their noticeable features. One of the interesting applications of such motors is in underwater vehicles. In these cases, reaching to minimum volume and high torque of the motor are the major concern. Design optimization can enhance their merits considerably, thus reduce volum...

Optimization is the task of finding an optimum solution to a given problem. When the decision variables are discrete we speak of a combinatorial optimization problem. Such a problem is online when decisions have to be made before all data of the problem are known. And we speak of a real-time online problem when online decisions have to be computed within very tight time bounds. This paper surve...

This paper explores unsupervised learning of parsing models along two directions.First, which models are identifiable from infinite data? We use a general tech-nique for numerically checking identifiability based on the rank of a Jacobian ma-trix, and apply it to several standard constituency and dependency parsing models.Second, for identifiable models, how do we estimate the p...

Lysine as an essential amino acid supplemented to fulfil the dietary requirement of Poultry feed. In Pakistan all this demand is accomplished by importing lysine for feed sector. Wild Brevibacterium flavum was used to induce mutation by random mutagenesis for hyper production of lysine through fermentation. The highest lysine producing strain (BFENU2) was screened with 21.64 g/L production by m...

The problem of choosing the optimum locations for base stations in a microcell communications system is considered. The factors affecting optimum selection are the non-uniform service areas in complex propagation environments, the mutual coverage and interference of multiple base stations, and the service objective which is usually defined by signal level but may also be defined by delay spread...