A novel multi-objective forest optimization algorithm for wrapper feature selection

Babak Nouri-Moghaddam,Mehdi Ghazanfari,Mohammad Fathian

Expert Systems with Applications（2021）

引用 60|浏览9

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摘要

•A new multi-objective wrapper method based on Forest Optimization (MOFOA) is proposed.•MOFOA uses archive, grid, and region-based selection to maintain Pareto front.•Two continues and binary versions of MOFOA is presented to solve features selection.•Continuous version of MOFOA outperforms other multi-objective algorithms.•The performance of MOFOA was confirmed by quantitative and qualitative analyses.

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关键词

Feature selection,Multi-objective optimization,Forest optimization algorithm,Wrapper method,Dimension reduction

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