Learning Heuristics via Genetic Programming for Multi-Mode Resource-Constrained Project Scheduling
Created by W.Langdon from
gp-bibliography.bib Revision:1.7975
- @InProceedings{tian:2024:CEC,
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author = "Yuan Tian and Yi Mei and Mengjie Zhang",
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title = "Learning Heuristics via Genetic Programming for
Multi-Mode Resource-Constrained Project Scheduling",
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booktitle = "2024 IEEE Congress on Evolutionary Computation (CEC)",
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year = "2024",
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editor = "Bing Xue",
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address = "Yokohama, Japan",
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month = "30 " # jun # " - 5 " # jul,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming, Schedules,
Sequential analysis, Operations research, Processor
scheduling, Buildings, Project management, Project
Scheduling, Multiple Modes, Hyper-heuristics",
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isbn13 = "979-8-3503-0837-2",
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DOI = "doi:10.1109/CEC60901.2024.10612172",
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abstract = "The multi-mode resource-constrained project scheduling
problem (MRCPSP) is a challenging problem for
researchers and practitioners in operations research
and project management. MRCPSP involves both selecting
the execution mode for each activity and sequencing the
activities in the schedule. Thus, activity
prioritisation and mode selection are the two main
decisions in building a project schedule. A rule-based
heuristic approach is commonly used for solving this
problem in practical complex scenarios. However,
designing effective project scheduling rules highly
relies on the expertise of professionals and domain
knowledge. To address the above issue, this paper
proposes a genetic programming-based hyper-heuristic
(GPHH) to design heuristic rules automatically. Various
decision strategies based on decision orders are
proposed and their impact on the capacity of GPHH to
learn effective scheduling rules is investigated. The
experiment results demonstrate the evolved rules
generated by GPHH outperform the existing manual
heuristic rules and making two decisions simultaneously
is identified as the most effective strategy.",
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notes = "also known as \cite{10612172}
WCCI 2024",
- }
Genetic Programming entries for
Yuan Tian
Yi Mei
Mengjie Zhang
Citations