MAX-MIN Ant System on GPU with CUDA

We propose a parallel MAX-MIN Ant System (MMAS) algorithm that is suitable for an implementation on graphics processing units (GPUs). Multi ant colonies with respective parameter settings are whole offloaded to the GPU in parallel. We have implemented this GPU-based MMAS on the GPU with compute unified device architecture (CUDA). Some performance optimization means for kernel program of GPU are introduced. Experimental results that are based on simulations for the traveling salesperson problem are presented to evaluate the proposed techniques.