HV Values of Five Algorithms on Multi-Objective Benchmark Problems

A 9.5 KB Excel file published on figshare by Wei Jiang on April 17, 2026. It contains Hypervolume (HV) values comparing the performance of five multi-objective evolutionary algorithms, including a proposed IM-NSGAII algorithm, on ZDT, DTLZ, MaF, and WFG benchmark problems.

Use Cases

• Benchmarking algorithm convergence speed based on the described experimental results.
• Comparing population diversity maintenance strategies across different algorithms.
• Evaluating the performance of the proposed IM-NSGAII algorithm against established methods.
• Analyzing algorithm performance on complex Pareto fronts using the listed benchmark suites.

Strengths

• Data is small (9.5 KB) and in a widely accessible XLS format.
• Benchmarking covers four established test suites: ZDT, DTLZ, MaF, and WFG.
• Results are directly comparable, focusing on the standardized Hypervolume (HV) metric.

Limitations

• Row count and specific column definitions are unknown, requiring inspection after download.
• The dataset's scope is limited to algorithmic performance metrics without raw run data.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Experimental results from benchmarking algorithms on standard test problems.

Time Range

Publication date is 2026-04 17; experimental time range is not specified.

Freshness

Last updated 2026-04-17 17:36:10; freshness should be verified.

Geography

Spatial coverage is not applicable for algorithmic benchmark data.