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CleverAlgorithms is a book project collecting “recipes” for nature-inspired algorithms — metaheuristics and computational intelligence methods inspired by biological, evolutionary, physical, or swarm systems. It standardizes descriptions so that people can understand, implement, and compare algorithms such as genetic algorithms, particle swarm optimization, immune system inspired algorithms, etc. It includes code examples (in Ruby in many cases), documentation, theoretical background, and is intended both for students, researchers, and practitioners. It is open yet non-commercially licensed.
Features
- Contains many algorithms from different families: stochastic, evolutionary, swarm, immune, probabilistic, etc.
- Presents each algorithm with working code examples (Ruby/Tex/other) to illustrate implementation details
- Provides standardized descriptions to reduce ambiguity in algorithmic literature
- Includes appendices/background sections (e.g. Ruby guide, benchmarking)
- Can be built using LaTeX / Makefile, includes PDF versions, etc.
- Licensed under Creative Commons Attribution-Noncommercial-Share Alike Australian License, allowing sharing with attribution and non-commercial reuse
Project Samples
Categories
Machine LearningLicense
MIT LicenseFollow Clever Algorithms
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