Agricultural Market Location Evaluation with Genetic Algorithm Weighting

A 9.5 KB Excel dataset contains evaluation results for siting large-scale agricultural product wholesale markets. Guizhe Xin created this resource, which was last updated in April 2026. It presents a framework integrating GIS data, AHP, and entropy weight methods for location analysis.

Use Cases

• Analyze the correlation between location criteria like planning and transportation using the provided contribution rates.
• Validate the genetic algorithm's weight optimization results for different market functional types.
• Compare candidate location rankings derived from the five-phase methodology (region screening, scope delineation, etc.).
• Apply the elastic and rigid evaluation standards for land use and urban compatibility criteria to new sites.

Strengths

• Dataset integrates multiple planning data sources (territorial, traffic, industrial) into a unified framework.
• Methodology applies a genetic algorithm for iterative weight optimization until convergence.
• Case study evaluates and ranks seven candidate location schemes.

Limitations

• The dataset is very small at 9.5 KB, indicating limited raw data or results scope.
• Specific row counts and column details for the evaluation results are unknown.
• Geographic coverage is implied but not explicitly stated, limiting generalizability.

Provenance

Source

Guizhe Xin via figshare.

Collection Method

Derived from a research study applying AHP, entropy weight method, and genetic algorithm to a proposed evaluation framework.

Freshness

Last updated in April 2026.