Optimal feature selection in industrial foam injection processes using hybrid binary Particle Swarm Optimization and Gravitational Search Algorithm in the Mahalanobis–Taguchi System

标题
Optimal feature selection in industrial foam injection processes using hybrid binary Particle Swarm Optimization and Gravitational Search Algorithm in the Mahalanobis–Taguchi System
作者
关键词
Feature selection, Mahalanobis–Taguchi System, Binary Particle Swarm Optimization, Binary Gravitational Search Algorithm
出版物
SOFT COMPUTING
Volume -, Issue -, Pages -
出版商
Springer Nature
发表日期
2019-03-13
DOI
10.1007/s00500-019-03911-w

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