In this paper, we develop a multilevel global placement algorithm (MGP) integrated with fast incremental global routing for directly updating and optimizing congestion cost during physical hierarchy generation. Fast global routing is achieved using a fast two-bend routing and incremental A-tree algorithm. The routing congestion is modeled by the wire usage estimated by the fast global router. A...

A model algorithm based on the successive quadratic programming method for solving the general nonlinear programming problem is presented. The objective function and the constraints of the problem are only required to be differentiable and their gradients to satisfy a Lipschitz condition. The strategy for obtaining global convergence is based on the trust region approach. The merit function is ...

ISRIC World Soil Information has a mandate to serve the international community as custodian of global soil information and to increase awareness and understanding of the role soils in major global issues. To adapt to the current demand for soil information, ISRIC is updating its enterprise data management system, including procedures for registering acquired data such as lineage, versioning, q...

We demonstrate the first application of cellular automata to the secondary structure predictions of proteins. Cellular automata use localized interactions to simulate global phenomena, which resembles the protein folding problem where individual residues interact locally to define the global protein conformation. The protein's amino acid sequence was input into the cellular automaton and rules ...

In this paper, condition monitoring of a geared rotor system using finite element (FE) model updating and particle swarm optimization (PSO) method is onsidered. For this purpose, employing experimental data from the geared rotor system, an updated FE model is obtained. The geared rotor system under study consists of two shafts, four bearings, and two gears. To get the experimental data,  iezoel...

A novel binary Quantum-behaved Particle Swarm Optimization algorithm with cooperative approach (CBQPSO) is introduced. In the proposed algorithm, the updating method of particle’s previous best position and swarm’s global best position are performed in each dimension of solution vector to avoid loss some components that have moved closer to the global optimal solution in the vector. Five test f...

The problem of updating the global position of an autonomous vehicle is considered. An iterative procedure is proposed to fit a map to a set of noisy point measurements. The procedure is inspired by a nonparametric procedure for probability density function mode searching. We show how this could be used to solve the global position update problem in an efficient and robust way. The simple proce...

The method of multisplitting, implemented as a restricted additive Schwarz type algorithm, is extended for the solution of regularized least squares problems. The presented non-stationary version of the algorithm uses dynamic updating of the weights applied to the subdomains in reconstituting the global solution. Standard convergence results follow from extensive prior literature on linear mult...