A novel hyper-heuristic based on surrogate genetic programming for the three-dimensional spatial resource-constrained project scheduling problem under uncertain environments
Lubo Li, Jingwen Zhang, Haohua Zhang, Roel Leus
| Year of publication: |
2025
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| Authors: | Li, Lubo ; Zhang, Jingwen ; Zhang, Haohua ; Leus, Roel |
| Published in: |
Computers & operations research : an international journal. - Amsterdam [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 1499736-8. - Vol. 179.2025, Art.-No. 107013, p. 1-22
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| Subject: | 3D spatial resource | Fitness function surrogate | Genetic programming | Project schedule | Random forest technique | Scheduling-Verfahren | Scheduling problem | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Projektmanagement | Project management | Evolutionärer Algorithmus | Evolutionary algorithm |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.cor.2025.107013 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015338563