GAP/D: VLSI Hardware for Parallel and Adaptive Distributed Genetic Algorithms

摘要：

This paper presents GAP/D, a VLSI implementation of a dynamic adaptation scheme for the frequency of inter-deme migration in distributed genetic algorithms (GA). Distributed GA, or multi-deme-based GA, uses multiple populations which evolve concurrently. The purpose of dynamic adaptation is to improve convergence performance so as to obtain better solutions. Through simulation experiments, we proved that our scheme achieves better performance than fixed frequency migration schemes.

作者: Kazutaka Kobayashi Norihiko Yoshida Shuji Narazaki

作者单位: InterDesign Technologies Inc., Japan Department of Information and Computer Sciences Saitama University, Japan Department of Computer and Information Sciences Nagasaki University, Japan

会议类型: 国际会议

会议名称: The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

会议地点: 三亚

会议语种:英文

页码: 95-98

在线出版日期: 2009-04-24（万方平台首次上网日期，不代表论文的发表时间）