Nature Inspired Optimization Algorithms
Project description
NIA
Nature Inspired Optimization Algorithms Supported Algorithms :
- Genetic algorithm
- Differential Evolution
- Evolutionary Programming
- Artificial Immune System
- Clonal Selection Algorithm
- Biogeography-based
- Symbiotic Organisms Search
- Ant Colony Optimization
- Artificial Bee Colony
- Moth Flame Optimization Algorithm
- Cuckoo Search
- Green Herons Optimization Algorithm
- Bat Algorithm
- Whale Optimization Algorithm
- Krill Herd
- Fish-swarm Algorithm
- Grey Wolf Optimizer
- Shuffle frog-leaping Algorithm
- Cat Swarm Optimization
- Flower Pollination Algorithm
- Invasive Weed Optimization
- Water Cycle Algorithm
- Teaching–Learning-Based Optimization
- Particle Swarm Optimization
- Simulated Annealing Algorithm
- Gravitational Search Algorithm
- Big Bang - Big Crunch
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nia-0.0.1.tar.gz
(5.6 kB
view hashes)
Built Distribution
nia-0.0.1-py3-none-any.whl
(7.9 kB
view hashes)
