Taxonomy of 16 Metaheuristic Algorithms by Inspiration and Search Mechanism

Mohammad Salehi's dataset provides a summary taxonomy of 16 metaheuristic algorithms, categorized by their primary inspiration source and underlying search mechanism. The classification, last updated in April 2026, illustrates how metaphoric origin guides exploration-exploitation balance and population dynamics. It is a 5.5 KB Excel file shared under a CC-BY-4.0 license on figshare.

Use Cases

• Classifying metaheuristic algorithms based on their dominant source of inspiration mentioned in the description
• Analyzing the relationship between metaphoric origin and exploration-exploitation balance as described
• Comparing algorithmic search mechanisms across categories like animal/behavioral or physical-process
• Teaching or illustrating the landscape of bio-inspired and physics-inspired optimization techniques

Strengths

• Provides a clear taxonomy of 16 distinct metaheuristic algorithms.
• File size is small (5.5 KB), ensuring quick download and inspection.
• Dataset is openly licensed under CC-BY-4.0, allowing for broad reuse.

Limitations

• Row count and specific column-level documentation are absent; field semantics must be inferred after download.
• The dataset's scope is limited to a summary taxonomy of 16 algorithms, which is not a comprehensive survey.

Provenance

Source

Mohammad Salehi via figshare

Freshness

Last updated 2026-04-15 18:08:04; freshness should be verified.