A modified Intelligent Water Drops algorithm and its application to optimization problems

作者：

Highlights：

• Two ranking-based selection methods are proposed to enhance the IWD algorithm.

• The proposed methods have been evaluated using three benchmark optimization tasks.

• The exponential ranking method is effective in enhancing the IWD performance.

• The computational requirements of the proposed methods need further investigation.

摘要

•Two ranking-based selection methods are proposed to enhance the IWD algorithm.•The proposed methods have been evaluated using three benchmark optimization tasks.•The exponential ranking method is effective in enhancing the IWD performance.•The computational requirements of the proposed methods need further investigation.

论文关键词：Intelligent Water Drops (IWD),Swarm-based optimization,Ranking-based selection methods,Feature selection (FS),Rough set (RS),Multiple knapsack problem (MKP),Travelling salesman problem (TSP)

论文评审过程：Available online 20 May 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.05.010