Learning combination weights in data fusion using Genetic Algorithms
作者：
Highlights：
• Genetic Algorithm is an effective scheme in determining data fusion weights.
• Tuning Genetic Algorithm increases time efficiency.
• Weight learning from only top ranked documents is useful.
• Redundant runs can be removed based on correlation between scores.
摘要
•Genetic Algorithm is an effective scheme in determining data fusion weights.•Tuning Genetic Algorithm increases time efficiency.•Weight learning from only top ranked documents is useful.•Redundant runs can be removed based on correlation between scores.
论文关键词：Information retrieval,Data fusion,Linear combination,Genetic Algorithms
论文评审过程：Received 2 August 2013, Revised 26 November 2014, Accepted 12 December 2014, Available online 9 January 2015.
论文官网地址：https://doi.org/10.1016/j.ipm.2014.12.002
