wind power has been widely considered and utilized in recent years as one of the most promising renewable energy sources. in the current research study, aerodynamic analysis of the upwind three-bladed horizontal axis turbine is carried out using blade element momentum theory (bem), and a genetic algorithm (ga) is applied as an optimization method. output power generation is considered as an obj...

PURPOSE Functional neuroimaging of small cortical patches such as columns is essential for testing computational models of vision, but imaging from cortical columns at conventional 3T fields is exceedingly difficult. By targeting the visual cortex exclusively, we tested whether combined optimization of shape, coil placement, and electronics would yield the necessary gains in signal-to-noise rat...

The problem of general block placement in VLSI is the topic of this paper. Among the existing approaches to its solution we concentrate on the constructive one, where blocks are selected and located one at a time. Two of the main features of the constructive approach are its high computational efficiency and its ability to support both automatic and interactive placement. We present some well-k...

Optimal capacitor allocation in distribution systems has been studied for a long times. It is an optimization problem which has an objective to define the optimal sizes and locations of capacitors to be installed. In this works, an overview of capacitor placement problem in distribution systems is briefly introduced. The objective functions and constraints of the problem are listed and the meth...

Retiming is a widely investigated technique for performance optimization. In general, it performs extensive modifications on a circuit netlist, leaving it unclear, whether the achieved performance improvement will still be valid after placement has been performed. This paper presents an approach for integrating retiming into a timing-driven placement environment. The experimental results show t...

the most costly operation in the oil exploration is the well network drilling. one of the most effectiveways to reduce the cost of drilling networks is decreasing the number of the required wells byselecting the optimum situation of the rig placement. in this paper, balas algorithm is used as a modelfor optimizing the cost function in oil well network, where the vertical and directional drillin...

In this paper, a new methodology is developed for knots placement for cubic spline approximation, using Simulated Annealing. It is not necessary to convert the problem into a discrete combinatorial optimization problem, as presented in other paradigms inspired in genetic algorithm or artificial immune systems, and therefore, removing the constrain of combinatorial optimization problem in the pr...

The genetic technique for standard cell placement presented in [1] is a two-level, hierarchal random-search algorithm to find cell placements that have low routing cost. The lower level of the hierarchy consists of a genetic-based placement algorithm, taking a set of parameters and producing a locally optimal placement within the bounds of the parameters. The upper level is another genetic opti...

This paper presents a solution methodology for multiobjective optimization problems in the context of models for the placement of components on printed wiring boards (PWB’s). The methodology combines the use of a flow and heat transfer solver, a genetic algorithm for the adaptive search of optimal or near-optimal solutions, and a multiobjective optimization strategy [Pareto optimization or mult...

For optimization of geological carbon sequestration (GCS) in saline aquifers, a genetic algorithm (GA) based optimizer has been developed and combined with the DOE multi-phase flow and heat transfer numerical simulation code TOUGH2 [1],[2]. Designated GA-TOUGH2, this combined solver/optimizer has been validated by performing optimization studies on a number of model problems and comparing the r...