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Genetic programming with advanced diverse partner selection for dynamic scheduling

delete2026-04-08
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PRE
AI
M
Meng Xu *
Y
Yi Mei
F
Fangfang Zhang
Y
Yew-Soon Ong
张梦杰 cover
张梦杰 (Mengjie Zhang)
DOI：10.1016/j.eswa.2026.132158delete
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Abstract

Abstract

En 中文
• Proposes GPDPSo a novel genetic programming method for dynamic flexible job shop scheduling; • Integrates diverse partner selection with brood recombination crossover; • Uses a surrogate model for efficient offspring performance estimation; • Employs offspring selection retain high-quality scheduling heuristics; • Outperforms traditional genetic programming and benchmarks across multiple scheduling scenarios.
Keywords:
Genetic programming
Dynamic flexible job shop scheduling
Diverse partner selection
Brood recombination crossover
Surrogate model

Journal

Expert Systems with Applications cover
Expert Systems with Applications
IF:
7.5
Papers:
2.9W
Citations:
10.2W

Organization

N
nanyang technological university
Scholars:
2.5K
Papers: 1.6K
Citations: 1
B
Beijing Institute of Technology
Scholars:
5.2K
Papers: 2.1K
Citations: 6.0W
V
victoria university of wellington
Scholars:
172
Papers: 100
Citations: 0
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