Average 1-NHV Values of QMOHH and Variants

Average 1-NHV values of QMOHH and its variants are presented in a 17.5 KB Excel file. The data was uploaded by Haoyi Zhao to figshare and last updated on May 21, 2026. It likely contains performance metrics from a computational study on reconfigurable assembly line scheduling.

Use Cases

• Benchmarking multi-objective hyper-heuristic algorithms based on the described Q-learning-based framework.
• Comparing algorithm performance on reconfigurable assembly line scheduling problems based on the generated benchmark instances.
• Analyzing the effectiveness of different metaheuristic operators (e.g., particle swarm optimization) within a unified search framework.
• Evaluating the impact of a density-aware leader selection strategy on solution quality.
• Validating multi-objective mathematical models for scheduling problems that minimize reconfiguration cost and production workload.

Strengths

• Dataset is small (17.5 KB), facilitating quick download and inspection.
• The underlying study compares the proposed methodology against nine other high-performing multi-objective algorithms, suggesting a rigorous evaluation context.
• The dataset is openly licensed under CC-BY-4.0, allowing for reuse and redistribution.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's scope is limited to the specific algorithmic outputs described, with no raw scheduling data.

Provenance

Source

Haoyi Zhao via figshare

Collection Method

Likely generated from a computational study involving 120 benchmark instances.

Freshness

Last updated 2026-05-21 07:32:04; freshness should be verified.