This paper proposes a novel approach for optimal allocation of a distributed generator in a radial distribution feeder for loss minimization and tail end node voltage improvement during peak load. A multi objective optimization method is proposed to determine optimal allocation of a distributed generation (DG) unit in a radial distribution feeder. The DG allocation problem has been formulated a...

The tolerance allocation problem has been studied in the literature for decades, usually using mathematical programming (or) heuristic optimization approaches. Elegant tools for minimum cost tolerance allocation have been developed over several decades but still there is no specified tool to find the total cost with respect to machining cost and asymmetric quality loss functions. Objective of t...

In this paper, we present a stochastic model with optimization and risk analyses in Communication Networks (CNs). The model is proposed for offline traffic engineering optimization with bandwidth allocation and performance analysis. First, we present an analysis of the bandwidth allocation problem to derive the optimal bandwidth capacity with a loss rate constraint. And, we also use a mean–vari...

Encoded video streams present numerous problems in bandwidth allocation, multi-plexing and admission control as a result of their Variable Bit Rate(VBR) characteristics. In particular, since video signals show a large range of variability, peak rate allocation results in very low bandwidth utilization. However, other allocation schemes tend to cause cell loss, delay and delay jitter which make ...

Balancing loss is the quantification of the lack of balance in a production line, defined as the percentage of time not used for productive purposes with the total time invested in making a product. The importance of this measure lies in its ability to assess perhaps the most problematic of all the detailed design decisions in product layout, namely that of line balanc ing . Achieving a perfect...

An efficient distribution network must be able to supply power with good voltage profile. The main objective of the proposed work is to allocate losses of the unbalanced distribution network by the firefly algorithm in regulated and deregulated environments before and after loss minimization. Reconfiguration is one of the methods for loss reduction of unbalanced distribution network. Further, o...

We consider a loss system with a fixed budget for servers. The system owner’s problem is choosing the price, and selecting the number and quality of the servers, in order to maximize profits, subject to a budget constraint. We solve the problem with identical and different service rates as well as with preemptive and non-preemptive policies. In addition, when the policy is preemptive we prove t...

Dynamically allocating wealth between cash and a performance-seeking portfolio allows investors to limit drawdowns to a chosen pre-defined level or risk-budget. This paper introduces variants and generalizations of the maximum drawdown metric and the corresponding risk-control strategies, such as excess drawdown, relative drawdown, and rolling drawdowns control. We discuss the relevance of thes...

Feature allocation models postulate a sampling distribution whose parameters are derived from shared features. Bayesian place prior on the feature allocation, and Markov chain Monte Carlo is typically used for model fitting, which results in thousands of allocations sampled posterior distribution. Based these samples, we propose method to provide point estimate latent allocation. First, introdu...

The purpose of this paper is to derive explicit formulae for the asset allocation decision for the loss aversion utility function proposed by Kahneman and Tuversky. We show that these utility functions exhibit constant absolute risk aversion. We also give analytic results which interpret the assumptions of risk-aversion with respect to gains but risk-a¤ection with respect to losses in terms of ...