A surrogate-assisted genetic programming with variable-distribution evolution for stochastic resource constrained project scheduling problem

Haojie Chen

doi:10.1016/j.cie.2025.111489

A surrogate-assisted genetic programming with variable-distribution evolution for stochastic resource constrained project scheduling problem

2025-09-10

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DOI：10.1016/j.cie.2025.111489

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• An SGP-VE is proposed to generate more effective PRs for SRCPSP. • A novel framework is described to achieve evolution PR with considering different distributions. • A surrogate with random sampling is constructed quickly and accurately evaluate generated PRs. • A non-precedence generation method is designed to provide decision situation inputs.

A surrogate-assisted genetic programming with variable-distribution evolution for stochastic resource constrained project scheduling problem

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