benchmarks.py

# -*- coding: utf-8 -*-


"""
Python code of Biogeography-Based Optimization (BBO)

Coded by: Raju Pal (emailid: raju3131.pal@gmail.com) and Himanshu Mittal (emailid: himanshu.mittal224@gmail.com)

The code template used is similar to code given at link: https://github.com/himanshuRepo/CKGSA-in-Python
 and matlab version of the BBO at link: http://embeddedlab.csuohio.edu/BBO/software/

Reference: D. Simon, Biogeography-Based Optimization, IEEE Transactions on Evolutionary Computation, in print (2008).
@author: Dan Simon (http://embeddedlab.csuohio.edu/BBO/software/)

-- Benchmark Function File: Defining the benchmark function along its range lower bound, upper bound and dimensions

Code compatible:
 -- Python: 2.* or 3.*
"""


import numpy

# define the function blocks

def F1(x):
    s = numpy.sum(x ** 2);
    return s


def getFunctionDetails(function):
    # [name, lb, ub, dim]
    param = {  0: ["F1",-100,100,30],
            }

    return param.get(function, "nothing")