Measurement of Fitness Function efficiency using Data Envelopment Analysis

作者：

Highlights：

• Methodology to measure the Fitness Function efficiency in the Evolutionary Algorithms.

• First application of Data Envelopment Analysis to measure the Fitness Function efficiency.

• Methodology to choice the more efficient Fitness Function in Evolutionary Algorithm.

• Case study: time series forecasting problem – analysis of three real world time series.

摘要

•Methodology to measure the Fitness Function efficiency in the Evolutionary Algorithms.•First application of Data Envelopment Analysis to measure the Fitness Function efficiency.•Methodology to choice the more efficient Fitness Function in Evolutionary Algorithm.•Case study: time series forecasting problem – analysis of three real world time series.

论文关键词：Efficiency measure,Fitness Function,Data Envelopment Analysis,Time series forecasting,Artificial Neural Networks,Evolutionary Strategy,Hybrid Intelligent Systems,Optimization

论文评审过程：Available online 12 June 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.06.001