Solving constrained optimization problems with parallel quantum particle swarm optimization;

The mathema tical model,which is founded on the Navier-Stocks equation,is calculated by parallel SIMPLER algorithm on collocated grid with algebraic multigrid method.

This paper proposes a network parallel computing approach for hydromechanical problem on rectangle domain using line relaxation method.

Parallelization of Spliced Alignment Tools Sim4;

Parallelization of Direct Simulation of Monte Carlo Method;

Parallelization of Self-Dependent Loops in CFD Programs;

Application of self-adaptation parallel evolutionary strategiesin reconfiguration of distribution networks;

In this paper, efficiency and knowledge update problems of evolutionary learning in mobile robot navigation under unknown remote environment have been analyzed, parallel evolution model has been proposed to solve the problems, and efficient parallel evolutionary computer has been designed and verified.

Based on the standard genetic algorithm,a new algorithm combining phase-evolution theory and parallel evolution theory is brought forward,which is PPGA.

In this paper, the dynamic behavior of asymmetric discrete Hopfield neural network is studied mainly in parallel updating mode, and some new stability conditions of the neural networks are given.