PC Cluster based Parallel PSO Algorithm for Optimal Power Flow

A Survey Paper on Task Scheduling Methods in Cluster Computing Environment for High Performance

“…Swarm technique use the particles and update from past remembering experience best solution it has found and search n-dimensional as shown in figure 2 for personal best pbi and global best gbi from existing population size with inertia weight. Many cluster computing based methods have been proposed to solve the scheduling problem [20,21,22,23].…”

“…Kim proposed optimal power flow based algorithm on cluster machine using swarm technique for optimal solution which perform better than other optimization techniques [22]. Ahmad proposed task scheduling algorithm onto multiprocessor using swarm technology which performed better results than genetic and duplication based techniques [23].…”

“…Qinma proposed task scheduling based problem using swarm technique which perform better than genetic, simulated annealing and tabu search [10]. Compared to genetic algorithm swarm techniques performs better and easy to implement [10,22,23,27,29]. Particles represent number of solutions with one of best among solutions.…”

Protein structure prediction using particle swarm optimization and a distributed parallel approach

“…This is why the asynchronous PSO is not equivalent to the serial PSO and regarding numerical accuracy can behave in a qualitatively different way. There have been several works and parallelizations of PSO considering both the synchronous [15,16,18,19,22,26,27,29,30] and the asynchronous [16,30,36] updates of the global information. We have implemented both methods following the above references.…”

“…Because the PSO is an inherently parallel process, owing to its natural origin, efforts have been spent in development of massively parallel as well as distributed implementations [15,16,18,19,22,26,27,29,30,36] and also applied for protein folding [25].…”