Industrial Wireless Sensor Networks (IWSNs), a novel technique in industry control, can greatly reduce the cost of measurement and control and improve productive efficiency. Different from Wireless Sensor Networks (WSNs) in non-industrial applications, the communication reliability of IWSNs has to be guaranteed as the real-time field data need to be transmitted to the control system through IWS...

Nowadays, the subject of vision metrology network design is local enhancement of the existing network. In the other words, it has changed from first to third order design concept. To improve the network, locally, some new camera stations should be added to the network in drawback areas. The accuracy of weak points is enhanced by the new images, if the related vision constraints are satisfied si...

We present two algorithms for the efficient placement of sensors in a sensor field. The proposed approach is aimed at optimizing the number of sensors and determining their placement to support distributed sensor networks. The optimization framework is inherently probabilistic due to the uncertainty associated with sensor detections. The proposed algorithms address coverage optimization under t...

A general methodology for damper placement in spaceborne interferometers is introduced. The process consists of combined structural/optical/damper modeling, 3. 1, cost selection, and genetic-algorithm or simulated annealing optimization. Combined structural/optical modeling allows the ability to quantitatively predict the effect of mechanical disturbances on optical performance metrics. 3. 1, c...

In this paper, we present an adaptive evolutionary Monte Carlo algorithm (AEMC), which combines a treebased predictive model with an evolutionary Monte Carlo sampling procedure for the purpose of global optimization. Our development is motivated by sensor placement applications in engineering, which requires optimizing certain complicated “black-box” objective function. The proposed method is a...

This paper presents a didactic Simulated Annealing placement tool. Simulated Annealing is a very famous generic combinatorial optimization algorithm that has been successfully applied to VLSI placement. Our tool allows any user to change several parameters of the algorithm and see their implications in the results graphically. At every algorithm step, the current placement disposition is displa...

Placement of multiple dies on an MCM or high-performance VLSI substrate is a non-trivial task in which multiple criteria need to be considered simultaneously to obtain a true multi-objective optimization. Unfortunately, the exact physical attributes of a design are not known in the placement step until the entire design process is carried out. When the performance issues are considered, crossta...

Placement of multiple dies on an MCM or high-performance VLSI substrate is a non-trivial task in which multiple criteria need to be considered simultaneously to obtain a true multi-objective optimization. Unfortunately, the exact physical attributes of a design are not known in the placement step until the entire design process is carried out. When the performance issues are considered, crossta...

The increase of the base transceiver station (BTS) in most urban areas can be traced to the drive by network providers to meet demand for coverage and capacity. In traditional network planning, the final decision of BTS placement is taken by a team of radio planners, this decision is not fool proof against regulatory requirements. In this paper, an intelligent based algorithm for optimal BTS si...