Source code for NiaPy.benchmarks.salomon

# encoding=utf8
# pylint: disable=anomalous-backslash-in-string
import math

__all__ = ['Salomon']


[docs]class Salomon: r"""Implementation of Salomon function. Date: 2018 Author: Lucija Brezočnik License: MIT Function: **Salomon function** :math:`f(\mathbf{x}) = 1 - \cos\left(2\pi\sqrt{\sum_{i=1}^D x_i^2} \right)+ 0.1 \sqrt{\sum_{i=1}^D x_i^2}` **Input domain:** The function can be defined on any input domain but it is usually evaluated on the hypercube :math:`x_i ∈ [-100, 100]`, for all :math:`i = 1, 2,..., D`. **Global minimum:** :math:`f(x^*) = 0`, at :math:`x^* = f(0, 0)` LaTeX formats: Inline: $f(\mathbf{x}) = 1 - \cos\left(2\pi\sqrt{\sum_{i=1}^D x_i^2} \right)+ 0.1 \sqrt{\sum_{i=1}^D x_i^2}$ Equation: \begin{equation} f(\mathbf{x}) = 1 - \cos\left(2\pi\sqrt{\sum_{i=1}^D x_i^2} \right)+ 0.1 \sqrt{\sum_{i=1}^D x_i^2} \end{equation} Domain: $-100 \leq x_i \leq 100$ Reference paper: Jamil, M., and Yang, X. S. (2013). A literature survey of benchmark functions for global optimisation problems. International Journal of Mathematical Modelling and Numerical Optimisation, 4(2), 150-194. """ def __init__(self, Lower=-100.0, Upper=100.0): self.Lower = Lower self.Upper = Upper
[docs] @classmethod def function(cls): def evaluate(D, sol): val = 0.0 for i in range(D): val += math.pow(sol[i], 2) return 1.0 - math.cos(2.0 * math.pi * math.sqrt(val)) + 0.1 * val
return evaluate