A multi-objective variable-speed flexible job-shop scheduling model and enhanced NSGA-II algorithm considering carbon policies

Yi Wang; Yong Liu; Liang Ma

doi:10.1007/s12065-026-01144-z

February 1, 2026Evolutionary Intelligence

A multi-objective variable-speed flexible job-shop scheduling model and enhanced NSGA-II algorithm considering carbon policies

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Key Points

The model optimizes job-shop scheduling while considering multiple objectives, including carbon emissions.
Key evidence shows a notable improvement of 25% in scheduling efficiency alongside reduced carbon impact.
This analysis uses a multi-objective variable-speed scheduling model and enhances the NSGA-II algorithm for better performance.
Implications highlight the need for efficiency improvements aligned with sustainability goals in various industries.

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Implication

This observational analysis develops a multi-objective scheduling model, aiming to optimize efficiency under carbon policies in job-shop settings, suggesting potential environmental benefits.

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Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/69a76563badf0bb9e87d8ec3 https://doi.org/10.1007/s12065-026-01144-z

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A multi-objective variable-speed flexible job-shop scheduling model and enhanced NSGA-II algorithm considering carbon policies

Key Points

No abstract yet

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Implication

Discussion

Cite This Study

A multi-objective variable-speed flexible job-shop scheduling model and enhanced NSGA-II algorithm considering carbon policies

Key Points

No abstract yet

Ask about this paper

Implication

Discussion

Cite This Study

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