MinionPy (python)

Welcome to the MinionPy documentation! MinionPy is a Python wrapper for the Minion C++ library, providing an easy-to-use interface to state-of-the-art optimization algorithms.

Contents:

• Getting Started
  • 1. Importing the Library
  • 2. Defining the Objective Function and Bounds
  • 3. Creating an Optimizer
  • 4. Running the Optimization
  • 5. Interpreting the Results
• Examples
  • Minimizing Basic Functions
  • Using Basic Test Functions
  • Minimizing Expensive Functions with Multithreading/Multiprocessing
  • Algorithm Comparisons Using CEC Benchmark Problems
  • Example of using minion/py in curve fitting problems
• API (Python)
  • Process_Parallel
  • Thread_Parallel
  • ABC
  • AGSK
  • ARRDE
  • BIPOP_aCMAES
  • CMAES
  • CalllbackWrapper
  • DMSPSO
  • Differential_Evolution
  • Dual_Annealing
  • GWO_DE
  • IMODE
  • JADE
  • LSHADE
  • LSHADE_cnEpSin
  • LSRTDE
  • L_BFGS
  • L_BFGS_B
  • Minimizer
  • MinimizerBase
  • MinionResult
  • NLSHADE_RSP
  • NelderMead
  • PSO
  • RCMAES
  • SPSO2011
  • j2020
  • jSO
  • CEC2011Functions
  • CEC2014Functions
  • CEC2017Functions
  • CEC2019Functions
  • CEC2020Functions
  • CEC2022Functions