# Firefly algorithm

> in mathematical optimization, a metaheuristic proposed by Xin-She Yang

**Wikidata**: [Q5451844](https://www.wikidata.org/wiki/Q5451844)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Firefly_algorithm)  
**Source**: https://4ort.xyz/entity/firefly-algorithm

## Summary
The Firefly algorithm is a metaheuristic used in mathematical optimization, proposed by Xin-She Yang. It functions as a higher-level procedure designed to find, generate, or select heuristics to solve complex problems. The algorithm is classified as a subclass of metaheuristic and is named after the glowworm.

## Key Facts
- **Proposed By:** Xin-She Yang
- **Field:** Mathematical optimization
- **Classification:** Subclass of metaheuristic; Instance of algorithm
- **Naming:** Named after the glowworm
- **Aliases:** ホタルアルゴリズム (Japanese)
- **Wikipedia Presence:** Available in 9 languages (bg, en, fa, he, id, ja, ko, tr, zh)
- **Identifiers:** Freebase ID `/m/09gkt1s`; Microsoft Academic ID `154982244` (discontinued)

## FAQs
### Q: Who created the Firefly algorithm?
A: The Firefly algorithm was proposed by Xin-She Yang.

### Q: What type of algorithm is the Firefly algorithm?
A: It is a metaheuristic algorithm used in the field of mathematical optimization. It serves as a higher-level procedure designed to find, generate, or select heuristics.

### Q: What is the Firefly algorithm named after?
A: The algorithm is named after the glowworm.

## Why It Matters
The Firefly algorithm represents a significant contribution to the field of mathematical optimization. As a metaheuristic, it addresses complex optimization problems where traditional methods might fail or be too computationally expensive. By functioning as a higher-level procedure, it provides a structured method for generating or selecting precise heuristics, thereby aiding in the solution of difficult mathematical problems.

Its relevance is underscored by its inclusion in global knowledge bases and its availability across nine different languages on Wikipedia, indicating widespread academic and practical interest. The algorithm is distinct for its specific naming convention derived from the glowworm, situating it within a category of nature-inspired computational methods proposed by Xin-She Yang.

## Notable For
- Being a distinct metaheuristic proposed by Xin-She Yang.
- Functioning as a higher-level procedure for heuristic generation and selection.
- Its specific nomenclature derived from the glowworm.
- Global accessibility, with Wikipedia entries in languages including English, Japanese, Chinese, and Korean.

## Body
### Classification and Function
The Firefly algorithm is formally classified as an instance of an algorithm and a subclass of metaheuristic. It operates within the domain of mathematical optimization. Its primary function is to serve as a higher-level procedure designed to find, generate, or select a heuristic (often referred to as a metaheuristic [class]).

### Attribution and Naming
The algorithm was proposed by Xin-She Yang. It is distinctively named after the glowworm. In Japanese, the entity is referred to as "ホタルアルゴリズム".

### Digital Identifiers and Presence
The Firefly algorithm is indexed under several digital identifiers and knowledge graphs:
- **Freebase ID:** `/m/09gkt1s`
- **Microsoft Academic ID:** `154982244` (Note: this service is discontinued)
- **Quora Topic:** Firefly-Algorithm

The entity has a sitelink count of 9 across various Wikipedia languages, including Bulgarian (bg), English (en), Persian (fa), Hebrew (he), Indonesian (id), Japanese (ja), Korean (ko), Turkish (tr), and Chinese (zh).

## References

1. Quora
2. [OpenAlex](https://docs.openalex.org/download-snapshot/snapshot-data-format)