# Jason2Brownlee/CleverAlgorithms

Clever Algorithms: Nature-Inspired Programming Recipes

Repository: https://github.com/Jason2Brownlee/CleverAlgorithms
Canonical: https://ross.abutalabs.com/products/cleveralgorithms
Homepage: https://CleverAlgorithms.com
Language: TeX
License Family: other
Topics: algorithms, book, computational-intelligence, machine-learning-algorithms, optimization-algorithms
Last push: 2024-12-20T03:55:29+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 6088, "days_push": 621, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license, no_readme
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2116, forks 341 (observed 2026-08-28T04:06:15.865524+00:00)

## What it is
An open-source book, 'Clever Algorithms: Nature-Inspired Programming Recipes', providing structured descriptions, pseudo-code, and Ruby code examples for 45 algorithms from computational intelligence and metaheuristics. The repository contains the TeX source for the 438-page ebook, which can be read online for free.

## Use cases
- learn how genetic algorithms work with working code examples
- find a consistent reference for implementing swarm intelligence algorithms
- implement stochastic and evolutionary optimization algorithms from pseudo-code
- study neural network and metaheuristic algorithm recipes
- get a handbook of nature-inspired computational problem solving techniques

## When to choose
- you want free, structured algorithm descriptions with pseudo-code and Ruby implementations
- you are learning computational intelligence or biologically inspired computation
- you need best-practice usage heuristics and primary references for classic AI algorithms

## When to avoid
- you need production-ready, maintained algorithm libraries rather than educational material
- you require implementations in languages other than Ruby
- you need up-to-date coverage of modern deep learning methods

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, math, developer-tools
- domain: artificial-intelligence, machine-learning, tutorials, education
- platform: cross-platform
- tags: book, metaheuristics, computational-intelligence, optimization, nature-inspired-algorithms, ruby, tex, algorithms

## Member repositories
- Jason2Brownlee/CleverAlgorithms (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:15.865524+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:53:18.953074+00:00, confidence not recorded.
  - homepage: https://CleverAlgorithms.com (fetched 2026-08-29T10:33:13.131300+00:00, sha 1bb8cb85a2f3)
- Data as of 2026-08-30T08:39:29.467469+00:00.