Download Now Free registration required
Although Ant Colony Systems (ACS) have gained much attention in last two decades but slow execution and convergence speed are still two challenges for these meta-heuristic algorithms. Many parallel implementations have been proposed for faster execution. However, most of available implementations use coarse-grained synchronization mechanisms that are not efficient and scalable. In this paper, the authors have taken a fine-grained (ant-level) approach that is more efficient and scalable. They have used traveling salesman problem as a test case and have presented a parallel fine-grained implementation for shared-memory multi-core systems. Their experimental results show that the proposed parallel implementation can achieve considerably higher speedup values on modern multi-core processors.
- Format: PDF
- Size: 825.32 KB