A simple yet effective grouping evolutionary strategy (GES) algorithm for scheduling parallel machines

Research article (Neural Computing and Applications, 2016) · cited 20× · AI/ML
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A simple yet effective grouping evolutionary strategy (GES) algorithm for scheduling parallel machines

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A simple yet effective grouping evolutionary strategy (GES) algorithm for scheduling parallel machines is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A simple yet effective grouping evolutionary strategy (GES) algorithm for scheduling parallel machines. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-simple-yet-effective-grouping-evolutionary-strategy-ges-algorithm-for-scheduling-parallel-machines
MLA “A simple yet effective grouping evolutionary strategy (GES) algorithm for scheduling parallel machines.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-simple-yet-effective-grouping-evolutionary-strategy-ges-algorithm-for-scheduling-parallel-machines.
BibTeX @misc{4ortxyz_a-simple-yet-effective-grouping-evolutionary-strategy-ges-algorithm-for-scheduling-parallel-machines_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A simple yet effective grouping evolutionary strategy (GES) algorithm for scheduling parallel machines}}, year = {2026}, url = {https://4ort.xyz/entity/a-simple-yet-effective-grouping-evolutionary-strategy-ges-algorithm-for-scheduling-parallel-machines}, note = {Accessed: 2026-05-24}}
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