Neural Particle Method (NPM) is a newly proposed Physics-Informed Network (PINN) based, truly meshfree method for hydrodynamics modeling. In the NPM, PINN applied to globally approximate field variables, and high-order Implicit Runge–Kutta (IRK) used treat time integration. The NPM can easily achieve incompressibility deal with free-surface problem. However, currently limited inviscid problems ...

in this paper, a stochastic cell formation problem is studied using queuing theory framework and considering reliability. since cell formation problem is np-hard, two algorithms based on genetic and modified particle swarm optimization (mpso) algorithms are developed to solve the problem. for generating initial solutions in these algorithms, a new heuristic method is developed, which always cre...

in this paper, we proposed an algorithm for solving the problem of task scheduling using particle swarm optimization algorithm, with changes in the selection and removing the guide and also using the technique to get away from the bad, to move away from local extreme and diversity. scheduling algorithms play an important role in grid computing, parallel tasks scheduling and sending them to appr...