− Natural phenomenon‘s and swarms behavior are the warm area of research among the researchers. A large number of algorithms have been developed on the account of natural phenomenon‘s and swarms behavior. These algorithms have been implemented on the various computational problems for the sake of solutions and provided significant results than conventional methods but there is no such algorithm...

We have compared the recently introduced generalized simulated annealing ~GSA! with conventional simulated annealing ~CSA!. GSA was tested as a tool to obtain the ground-state geometry of molecules. We have used selected silicon clusters (Sin , n54 – 7,10) as test cases. Total energies were calculated through tightbinding molecular dynamics. We have found that the replacement of Boltzmann stati...

Gravitational search algorithm (GSA) is a swarm intelligence optimization algorithm that shares many similarities with evolutionary computation techniques. However, the GSA is driven by the simulation of a collection of masses which interact with each other based on the Newtonian gravity and laws of motion. Inspired by the classical GSA and quantum mechanics theories, this work presents a novel...

INTRODUCTION Gene-set analysis (GSA) methods are used as complementary approaches to genome-wide association studies (GWASs). The single marker association estimates of a predefined set of genes are either contrasted with those of all remaining genes or with a null non-associated background. To pool the p-values from several GSAs, it is important to take into account the concordance of the obse...

The interaction mechanisms at the molecular level that govern essential processes inside the cell are conventionally modeled by nonlinear dynamic systems of coupled differential equations. Our implementation adopts an S-system to capture the dynamics of the gene regulatory network (GRN) of interest. To identify a solution to inverse problem of GRN parameter identification the gravitational sear...

This paper represents the Gravitational Search Algorithm (GSA) that can be used to determine the optimal location and rating of Thyristor controlled Series Capacitor (TCSC). TCSC is equipment used to regulate and improve power flow in power system. The method used in this study was GSA. TCSC were the implemented on 500kV Java-Bali Power System. Loadflow results before optimization using Newton ...

. This report summarizes results of a project to character& air toxic emissions of selected hazardous air pollutants (HAPS) from the AirPol Gas Suspension Absorption SO2 control technology. This project was sponsored by AirPol Inc., the Tennessee Valley Authority (TVA), and the U.S. Department of Energy (DOE). The GSA process utilizes a semi-dry lime scrubber for SO2 and HCI removal. Most of th...

EXECUTIVE SUMMARY This document serves as a DOE post-project assessment of a project in Round 3 of the Clean Coal Technology (CCT) Demonstration Program titled, "Demonstration of SO 2 Removal Using Gas Suspension Absorption Technology." In October 1990, AirPol Inc. entered into a cooperative agreement to conduct the study, with the Tennessee Valley Authority (TVA) as the host and co-sponsor. Th...

Gravitational search algorithm (GSA) is based on the law of gravity and a mass of interaction. In GSA, the searcher agents are a collection of masses which interact with each other based on the Newtonian gravity and the laws of motion. This paper proposes a new clustered gravitational search algorithm (CGSA) to accelerate the performance of the GSA. Here, the whole population is divided into th...