Skip to content

Latest commit

 

History

History
11 lines (8 loc) · 398 Bytes

File metadata and controls

11 lines (8 loc) · 398 Bytes

optimization

Various single and multi-objective optimization problems and solutions with Python.

Includes

  • evolutionary algorithm for solving N-queens problem
  • particle swarm algorithm
  • implementations of some of the methods used in NSGA2 and MOEA-D algorithms

Dependencies

numpy, scipy (for running tests), matplotlib (optional, for displaying plots during particle swarm optimization)