This paper reviews Bolivia’s economic and social development over the period 198599, and investigates the country’s future prospects for pro-poor growth using a Computable General Equilibrium (CGE) model. Model simulations show that under optimistic assumptions the growth and poverty goals envisaged in the Bolivian poverty reduction strategy may be achieved, but that performance will fall short...

Simultaneous routing and resource allocation has been considered in wireless networks for its performance improvement. In this paper we propose a cross-layer optimization framework for worst-case queue length minimization in some type of FDMA based wireless networks, in which the the data routing and the power allocation problem are jointly optimized with Fuzzy distributed H∞ control strategy ....

This paper presents two adaptive ECMS schemes which compared to the standard ECMS formulation are extended by an online learning algorithm based on the so-called regret minimization paradigm. While in the first approach the Shrinking Dartboard algorithm is applied to tune the parameter values of the ECMS adaptation rule, in the second approach the Weighted Fractional algorithm averages the resu...

Power-efficient embedded system design, considering the hardware platform, the. Embedded software power consumption through compiler optimizations 8.Embedded computing systems are characterized by the presence of application. Software power minimization techniques that exploit the power consumption.Minimization of power consumption in portable and batterypowered embedded systems has become an i...

Residual minimization is a widely used technique for solving Partial Differential Equations in variational form. It minimizes the dual norm of residual, which naturally yields saddle-point (min–max) problem over so-called trial and test spaces. In context neural networks, we can address this min–max approach by employing one network to seek minimum, while another seeks maximizers. However, resu...

This paper presents a comparative study of two promising real-time energy management strategies for fuel cell electric vehicle applications: adaptive equivalent consumption minimization strategy (A-ECMS), and stochastic dynamic programming (SDP). An off-line algorithm –classic - provides reference results. On-line are tested both in simulation using dedicated test bench completely consistent wi...

This paper empirically studies the energy minimization problem on a mixed-criticality system with stringent reliability and deadline constraints. To address this problem, we first analyze the resource demand of a mixed-criticality task set with both reliability and deadline constraints. Based on the analysis, we present our heuristic search based energy minimization algorithm (HSEM), which is u...

Using Metaheuristics models and Evolutionary Algorithms for solving portfolio problem has been considered in recent years.In this study, by using particles swarm optimization and tabu search algorithms we  optimized two-sided risk measures . A standard exact penalty function transforms the considered portfolio selection problem into an equivalent unconstrained minimization problem. And in final...

In this paper, we study the problem of minimizing the ratio of two quadratic functions subject to a quadratic constraint. First we introduce a parametric equivalent of the problem. Then a bisection and a generalized Newton-based method algorithms are presented to solve it. In order to solve the quadratically constrained quadratic minimization problem within both algorithms, a semidefinite optim...

Hybrid electric propulsion systems have been identified as feasible solutions for regional jets and narrow-body aircraft to reduce block fuel burn, emissions, operating costs. In this article, a nonlinear model predictive control-based optimal energy management scheme (MPC-EMS) has proposed minimize the burn during flight. First, artificial neural network (ANN) is adopted predict turbofan engin...