Hierarchical Particle Swarm Optimization with Ortho-Cyclic Circles
作者：
Highlights：
• Designed for real world problems in order to handle changing environment.
• Significant out performance in comparison with the various fitness function and other existing PSO algorithms.
• Near optimal solution is obtained for any number of swarms and swarm particles.
• Maximum of customers are served with reduced service waiting time.
• Avoids the necessity of rediversification, thereby reducing the convergence problem.
摘要
•Designed for real world problems in order to handle changing environment.•Significant out performance in comparison with the various fitness function and other existing PSO algorithms.•Near optimal solution is obtained for any number of swarms and swarm particles.•Maximum of customers are served with reduced service waiting time.•Avoids the necessity of rediversification, thereby reducing the convergence problem.
论文关键词：Particle Swarm Optimization,Cloud computing,Remote health monitoring,Dynamic environment,Orthogonality,Dynamic Round Robin Scheduling
论文评审过程：Available online 31 October 2013.
论文官网地址：https://doi.org/10.1016/j.eswa.2013.10.050
