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A newly developed hybrid memetic algorithm incorporating adaptive local search and energy-saving neighborhood strategies effectively minimizes makespan and total energy consumption in distributed blocking hybrid flowshop scheduling problems, achieving competitive performance against existing state-of-the-art algorithms. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

September 8, 2026Scientific ReportsOpen Access

A hybrid memetic algorithm for an energy-aware distributed blocking hybrid flowshop scheduling problem with transportation time

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Formulate and resolve an energy-aware distributed blocking hybrid flowshop scheduling problem with transportation times to minimize both total completion time and energy consumption.
Formulated a multi-objective mathematical programming model and verified its baseline validity using the Gurobi solver.
Developed a hybrid memetic algorithm incorporating a three-layer encoding framework, dual initialization schemes, adaptive local search operators, and an energy-saving neighborhood strategy.
Evaluated algorithm performance across 100 benchmark test instances varying in job volume, machine availability, and factory distribution.
The proposed hybrid memetic algorithm achieved competitive solution quality relative to state-of-the-art scheduling approaches across all 100 test instances.
The problem-specific energy-saving neighborhood strategy effectively eliminated redundant energy expenditure without degrading makespan performance.

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Implication

Computational study demonstrates improved makespan and energy efficiency in distributed manufacturing systems, indicating enhanced potential for green industrial optimization.

Cite This Study

Chong et al. (2026) studied this question.

synapsesocial.com/papers/6a9fd70a58e84d0ff5b458f4 https://doi.org/10.1038/s41598-026-70046-y

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Implication

Computational study demonstrates improved makespan and energy efficiency in distributed manufacturing systems, indicating enhanced potential for green industrial optimization.

A hybrid memetic algorithm for an energy-aware distributed blocking hybrid flowshop scheduling problem with transportation time

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Discussion

Implication

Cite This Study

A hybrid memetic algorithm for an energy-aware distributed blocking hybrid flowshop scheduling problem with transportation time

Key Points

Discussion

Implication

Cite This Study

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