Distributed generators are beneficial in reducing the losses effectively compared to other methods of loss reduction. On the other hand DGs can be implemented for improvement of reliability of system too. In this paper optimal DG sources placement using Bacterial Foraging Optimization (BFO) is discussed. The optimal size and location of the DG unit is calculated. Reliability and power loss redu...

Lot sizing Minimum order quantity Shortage Simulation In this study, lot sizing models of offer so that the cost shortage, holding inventory of exposure, ordering are to be considered and try to determine the values of Qm or maximum inventory so that the total cost could be as little as possible. Lot sizing systems with the specified consumption in a general model are studied and optimization o...

Distributed generation (DG) offers several benefits to the electrical system, such as reduction of losses and improvement voltage profile. DG can be maximized when allocation sizing are optimal — a problem known Optimal Sizing Placement Generation (OSPDG). This paper presents new meta-heuristic that associates PSO (Particle Swarm Optimization) with L´evy flights (LF) solve OSPDG, identified in ...

in this paper, we have proposed a new algorithm which combines pso and ga in such a way that the new algorithm is more effective and efficient.the particle swarm optimization (pso) algorithm has shown rapid convergence during the initial stages of a global search but around global optimum, the search process will become very slow. on the other hand, genetic algorithm is very sensitive to the in...

Software companies exploit data about completed projects to estimate the development effort required for new projects. Software size is one of the most important information used to this end. However, different methods for sizing software exist and companies may require to migrate to a new method at a certain point. In this case, in order to exploit historical data they need to resize the past ...

One of the fundamental problems in operations management is to determine the optimal investment in capacity. Capacity investment consumes resources and the decision is often irreversible. Moreover, the available capacity level affects the action space for production and inventory planning decisions directly. In this paper, we address the joint capacitated lot sizing and capacity acquisition pro...

The single-item stochastic lot-sizing problem is to find an inventory replenishment policy in the presence of discrete stochastic demands under periodic review and finite time horizon. A closely related problem is the single-period newsvendor model. It is well known that the newsvendor problem admits a closed formula for the optimal order quantity whenever the revenue and salvage values are lin...

Leakage power is increasingly gaining importance with technology scaling. Multi-Threshold CMOS (MTCMOS) technology has become a popular technique for standby power reduction. Sleep transistor insertion in circuits is an effective application of MTCMOS technology for reducing leakage power. In this paper we present a fine grained approach where each gate in the circuit is provided an independent...

We investigate an efficiency metric for VLSI computation that includes energy, , and time, , in the form . We apply the metric to CMOS circuits operating outside velocity saturation when energy and delay can be exchanged by adjusting the supply voltage; we prove that under these assumptions, optimal implies optimal energy and delay. We give experimental and simulation evidences of the range and...

In the dynamic software field there are major challenges in adapting metrics and cost estimation methods to continuing changes. There is a need to assess emerging trends and re-interpret software size measures and estimation models for new processes. Future trends of software systems are overviewed with implications for software sizing and cost estimation capabilities. Methods are shown to hand...