A direct search method in combination with a DNS/LES numerical approach is applied to optimize the control of the flow around a circular cylinder. The objective is the minimization of the drag coefficient and control is achieved via zero net mass flux actuators. The optimization process has been first evaluated and validated at Reynolds number 500 and then the more demanding flow at Reynolds nu...

This paper considers the problem of matrix completion when the observed entries are noisy and contain outliers. It begins with introducing a new optimization criterion for which the recovered matrix is defined as its solution. This criterion uses the celebrated Huber function from the robust statistics literature to downweigh the effects of outliers. A practical algorithm is developed to solve ...

This paper presents solution of optimal power flow (OPF) problem of a power system via an Ant Colony Optimization Meta-heuristic method. The objective is to minimize the total fuel cost of thermal generating units and also conserve an acceptable system performance in terms of limits on generator real and reactive power outputs, bus voltages, shunt capacitors/reactors, transformers tap-setting a...

Possibility to solve the problem of planning and plan recovery for robots using probabilistic programming with optimization queries, which is being developed as a framework for AGI and cognitive architectures, is considered. Planning can be done directly by introducing a generative model for plans and optimizing an objective function calculated via plan simulation. Plan recovery is achieved alm...

The image restoration via Reduced Order Model Kalman Filter (ROMKF) is accomplished in conjunction with a maximum likelihood technique for image/blur parameter estimation purposes. Traditionally, one uses initial condition sensitive optimization algorithms at the estimation stage. This work concerns the use of Evolutionary Programming (EP) in parameter estimation phase of the ROMKF space-adapti...

This paper proposes a novel direction of arrival (DOA) estimation scheme using particle swarm optimization (PSO)-based SPECC (Signal Parameter Extraction via Component Cancellation). The proposed algorithm is a PSO-based optimization method and extracts the amplitudes and incident angles of signal sources impinging on a sensor array in a step-by-step procedure. On the other hand, other algorith...

Abstract: This paper is concerned with the H∞ control problem of 2-D discrete state delay systems described by the Roesser model. The condition for the system to have a specified H∞ performance is derived via the linear matrix inequality (LMI) approach. Furthermore, a design procedure for H∞ state feedback controllers is given by solving a certain LMI. The design problem of optimal H∞ controlle...

Computer-aided design of modern robotic manufacturing cells involves solution of a number of complicated optimization problems that are related to equipment selection, scheduling, routing and path planning. The paper deals with three of them: optimal selection of robotic tools, optimal clustering of welding dots among robots, and optimal layout design. A number of efficient genetic algorithms a...

In spite of the benefits, one of the most challenging issues for implementing optimization under uncertainty, such as the use of robust design approach, is associated with the intensive computational demand of uncertainty propagation, especially when the simulation programs are computationally expensive. In this paper, an efficient approach to uncertainty propagation via the use of metamodels i...