Multi-mode resource-constrained project scheduling with uncertain activity cost
作者：
Highlights：
• A new optimization model is developed for scheduling projects under uncertain activity costs.
• Our approached provides a vehicle to obtain exact solutions to the addressed problem.
• A hybrid heuristic and genetic algorithm solves medium to large instances efficiently.
• Project deadline, budget and variation of cost significantly impact optimal solutions.
摘要
•A new optimization model is developed for scheduling projects under uncertain activity costs.•Our approached provides a vehicle to obtain exact solutions to the addressed problem.•A hybrid heuristic and genetic algorithm solves medium to large instances efficiently.•Project deadline, budget and variation of cost significantly impact optimal solutions.
论文关键词：Resource-constrained project scheduling,Multi-mode,Uncertain activity cost,Mixed-integer nonlinear programming,Genetic algorithms
论文评审过程：Received 18 March 2020, Revised 10 July 2020, Accepted 6 December 2020, Available online 10 December 2020, Version of Record 15 December 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.114475
