An efficient genetic programming approach to design priority rules for resource-constrained project scheduling problem
作者：
Highlights：
• An efficient genetic programming approach for the RCPSP is proposed.
• The impact of the training data and evaluation function are investigated.
• The GP-designed rules outperform any single traditional rule on various test data.
• The GP-designed rules outperform the traditional rules method on large projects.
• Three decision models are created to improve the performance on small-sized projects.
摘要
•An efficient genetic programming approach for the RCPSP is proposed.•The impact of the training data and evaluation function are investigated.•The GP-designed rules outperform any single traditional rule on various test data.•The GP-designed rules outperform the traditional rules method on large projects.•Three decision models are created to improve the performance on small-sized projects.
论文关键词：Resource-constrained project scheduling,Priority rules,Genetic programming
论文评审过程：Received 12 April 2021, Revised 17 November 2021, Accepted 24 February 2022, Available online 9 March 2022, Version of Record 18 March 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.116753
