Optimizing parameters of support vector machine using fast messy genetic algorithm for dispute classification

作者：

Highlights：

• Early prediction of dispute propensity in the initial phase of construction projects.

• The hybrid intelligence model integrates an SVM with a fast messy GA.

• Experiments indicate that GASVM achieves superior prediction accuracy.

• The results provide proactive warning to manage potential disputes.

摘要

•Early prediction of dispute propensity in the initial phase of construction projects.•The hybrid intelligence model integrates an SVM with a fast messy GA.•Experiments indicate that GASVM achieves superior prediction accuracy.•The results provide proactive warning to manage potential disputes.

论文关键词：Classification model,Hybrid intelligence,Optimization,Support vector machine,Fast messy genetic algorithm,Dispute prediction,Project management

论文评审过程：Available online 30 December 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.12.035