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This is a playground for learning and working with various Optimization algorithms with a focus on real life applications.

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OptimiZation

This is a playground for learning and playing with optimization algorithms. The various algorithms used include:

aco: Ant Colony Optimization
bat: Bat algorithm
smo: Spider Monkey Optimization
bee: Artificial Bee Colony
fpa:  Flower Pollination Algorithm
cmea: Constrained Multi-objective Evolutionary Algorithm
geneprog: Genetic Programming
genefeat: Genetic Algorithm
gravity: Gravity Search Algorithm

In this repo we test the above algorithms on the iris data-set for Feature Selection.