SOLVING THE NONLINEAR TRANSPORTATION PROBLEMS BY PARTICLE SWARM OPTIMIZATION
The transportation problems with arbitrary nonlinear cost functions are solved. The metaheuristic multi-swarm algorithm of the particle swarm optimization for approximate solving of the problems is proposed. The computation results of experiments for efficiency checking to solving the nonlinear transportation problems by OpenMP parallel version of the developed algorithms are described.
Keywords: transportation problem, nonlinear cost function, particle swarm optimization, parallel algorithms.
