A hyper-heuristic based ensemble genetic programming approach for stochastic resource constrained project scheduling problem

作者：

Highlights：

• A hyper-heuristic based ensemble GP framework is proposed to solve the SRCPSP.

• A sequence voting mechanism is designed to achieve PRs collaborative scheduling.

• The basic components of existing hyper-heuristic scheduling are modified.

• The local search, mutation and renewal are designed for improving GP evolution.

摘要

•A hyper-heuristic based ensemble GP framework is proposed to solve the SRCPSP.•A sequence voting mechanism is designed to achieve PRs collaborative scheduling.•The basic components of existing hyper-heuristic scheduling are modified.•The local search, mutation and renewal are designed for improving GP evolution.

论文关键词：Ensemble decision,Genetic programming,Hyper-heuristics,Priority rule,Stochastic resource constrained project scheduling

论文评审过程：Received 6 May 2020, Revised 25 October 2020, Accepted 25 October 2020, Available online 31 October 2020, Version of Record 10 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114174