迁移拓扑对岛屿模型的影响
On the Impact of the Migration Topology on the Island Model
摘要：
并行全局优化算法（PGOA）为解决复杂优化问题提供了一种有效的方法。在当代文献中经常应用和常见的GOA并行化的一种方法是所谓的岛模型（IM）。在本文中，我们分析了迁移拓扑结构的性能上的PGOA使用岛模型的影响。特别是，我们考虑并行差分进化和模拟退火与自适应邻域，并得出第一个结论，出现从进行的实验。
英文摘要：
Parallel Global Optimization Algorithms (PGOA) provide an efficient way of dealing with hard optimization problems. One method of parallelization of GOAs that is frequently applied and commonly found in the contemporary literature is the so-called Island Model (IM). In this paper we analyze the impact of the migration topology on the performance of a PGOA which uses the Island Model. In particular we consider parallel Differential Evolution and Simulated Annealing with Adaptive Neighborhood and draw first conclusions that emerge from the conducted experiments.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
