Adaptive active decoding and novel disjunctive graph-based improved genetic algorithm for multi-type machine robot cell scheduling in mass customization

doi:10.1016/j.rcim.2026.103246

Adaptive active decoding and novel disjunctive graph-based improved genetic algorithm for multi-type machine robot cell scheduling in mass customization

2026-01-23

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DOI：10.1016/j.rcim.2026.103246

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• The first MILP model is formulated for MultiType Machine Robot Cell Scheduling (MRCSP) integrating discrete and batch processing machines with realistic constraints. • An adaptive active strategy is proposed enabling feasible schedule conversion from MRCSP encoding. • An improved genetic algorithm (IGA) is proposed featuring problem-specific encoding/decoding and a local search enhanced by a newly proposed disjunctive graph model for MRCSP. • 15.02 % average makespan reduction is achieved in a real-world robot cell producing aluminum components in Southern China.

Adaptive active decoding and novel disjunctive graph-based improved genetic algorithm for multi-type machine robot cell scheduling in mass customization

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