opfunu 0.2.0

A python package for Optimization Functions in Numpy.

Optimization Function in Numpy (OpFuNu)

Installation

Install the current PyPI release:

pip install opfunu

Or install the development version from GitHub:

pip install git+https://github.com/thieunguyen5991/opfunu

Example

• All you need to do is: (Make sure your solution is a numpy 1-D array)

from opfunu.benchmark2d import Functions     # import 2-d benchmark functions
import numpy as np

solution2d = np.array([-0.1, 1.5])           # Solution for 2-d benchmark
func2d = Functions()                         # create an object

print(func2d._bartels_conn__(solution2d))    # using function in above object
print(func2d._bird__(solution))

Publications

• If you see my code and data useful and use it, please cites my works here

  • Nguyen, T., Nguyen, T., Nguyen, B. M., & Nguyen, G. (2019). Efficient Time-Series Forecasting Using Neural Network and Opposition-Based Coral Reefs Optimization. International Journal of Computational Intelligence Systems, 12(2), 1144-1161.

  • Nguyen, T., Tran, N., Nguyen, B. M., & Nguyen, G. (2018, November). A Resource Usage Prediction System Using Functional-Link and Genetic Algorithm Neural Network for Multivariate Cloud Metrics. In 2018 IEEE 11th Conference on Service-Oriented Computing and Applications (SOCA) (pp. 49-56). IEEE.

  • Nguyen, T., Nguyen, B. M., & Nguyen, G. (2019, April). Building Resource Auto-scaler with Functional-Link Neural Network and Adaptive Bacterial Foraging Optimization. In International Conference on Theory and Applications of Models of Computation (pp. 501-517). Springer, Cham.

• This project related to my another project "meta-heuristics" and "neural-network", check it here

  • https://github.com/thieunguyen5991/metaheuristics
  • https://github.com/chasebk

Documentation

1. http://benchmarkfcns.xyz/fcns
2. https://en.wikipedia.org/wiki/Test_functions_for_optimization
3. https://www.cs.unm.edu/~neal.holts/dga/benchmarkFunction/
4. http://www.sfu.ca/~ssurjano/optimization.html