Multi-operator immune genetic algorithm for project scheduling with discounted cash flows
作者：
Highlights：
• Multi-operator immune genetic algorithm (MO-IGA) is proposed to solve the RCPSPDC.
• Different heuristics are integrated with the proposed MO-IGA to enhance performance.
• Computational experiments are conducted to verify the effectiveness of the MO-IGA.
• Multi-operator concept improves the performance of simple immune genetic algorithm.
• MO-IGA generates better solution than its stand alone algorithms.
摘要
•Multi-operator immune genetic algorithm (MO-IGA) is proposed to solve the RCPSPDC.•Different heuristics are integrated with the proposed MO-IGA to enhance performance.•Computational experiments are conducted to verify the effectiveness of the MO-IGA.•Multi-operator concept improves the performance of simple immune genetic algorithm.•MO-IGA generates better solution than its stand alone algorithms.
论文关键词：Resource constrained project scheduling,Immune genetic algorithm,Discounted cash flows,Multi operator meta-heuristic approach,Multi-criteria decision making
论文评审过程：Received 16 April 2021, Revised 25 December 2021, Accepted 18 January 2022, Available online 9 February 2022, Version of Record 11 February 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.116589
