Market Weight Results from Genetic Algorithm Optimization

Genetic algorithm optimization results for objective and comprehensive weights across various markets. The dataset, created by Guizhe Xin, was last updated in April 2026 and is a small 9.5 KB Excel file.

Use Cases

• Analyze the relationship between objective weights and the final comprehensive weight for each market.
• Compare the optimized weight distributions across different market types listed in the data.
• Validate or benchmark genetic algorithm performance on a real-world weighting problem.
• Use the provided weights as a baseline for further financial or economic modeling.

Strengths

• Explicitly contains results from a genetic algorithm optimization process.
• Released under a permissive CC-BY-4.0 license for reuse.
• Data is recent, with a last update in April 2026.

Limitations

• Very small dataset at only 9.5 KB, indicating limited scope.
• Specific column names, row count, and market details are unknown.
• Lacks documentation on the specific genetic algorithm parameters or fitness functions used.

Provenance

Source

Guizhe Xin via figshare.

Collection Method

Output from a genetic algorithm optimization process.

Time Range

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Freshness

Last updated April 2026.

Geography

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