A new incremental approach to placement optimization is proposed in this paper. The approach is based on the sequence pair representation and employs incremental constraint graph computation and incremental longest paths computation. Upper and lower bounds on the average computational complexity are derived and new algorithms are proposed. The average computational complexity of the implemented...

Today's Cloud applications are dominated by composite applications comprising multiple computing and data components with strong communication correlations among them. Although Cloud providers are deploying large number of computing and storage devices to address the ever increasing demand for computing and storage resources, network resource demands are emerging as one of the key areas of perf...

In this paper we present a new placement method for cellbased layout styles. It is composed of alternating and interacting global optimization and partitioning steps that are followed by an optimization of the area utilizaiton. Methods using the divide-and-conquer paradigm usually lose the global view by generating smaller and smaller subproblems. In contrast, GORDIAN maintains the simultaneous...

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...

There have been numerous and varied research efforts to automate point-feature label placement (PFLP). It seems that many well-established precepts for pointfeature annotation used by human cartographers have been neglected so far. As a consequence, the currently implemented, fully automated solutions are limiting computer generated maps in their expressive power. In this paper we present a com...

This paper presents the optimal placement of multiple Dispersed Generators using multi-objective optimization. The optimization is carried out with objectives namely active power loss, reactive power loss, voltage deviation and overall economy. The multi-objective optimization and accounting conflicting objectives are realized through Particle Swarm Optimization with fuzzy decision approach to ...

We engineer a well-known optimization technique namely Tabu Search (TS) [1] for the performance and low power driven VLSI standard cell placement problem [2], [3]. The above problem is of multiobjective nature since three possibly conflicting objectives are considered to be optimized subject to the constraint of layout width. These objectives are power dissipation, timing performance, and inter...

In this article we propose an aggregate optimization approach by formulating the multi-head SMD placement optimization problem into a mixed integer program (MIP) with the variables based on batches of components. This MIP is tractable and effective in balancing workload among placement heads, minimizing the number of nozzle exchanges, and improving handling class. The handling class which speci...