Metadata-Version: 2.1
Name: BatAlgorithm
Version: 0.3.1
Summary: Bat algorithm implementation
Home-page: https://github.com/buma/BatAlgorithm
Author: Iztok Fister Jr. and Marko Burjek
License: MIT
Description: # Bat Algorithm in Python
        
        ## Objective
        The main objective is to create an implementation of bat algorithm in Python programming language.
        
        ## Installation
        
            pip install BatAlgorithm
        
        ### Example
        The following example presents a simple use of bat algorithm. `Fun()` denotes the objective function that may be changed by the user. Control parameters should be defined within `BatAlgorithm()` constructor. Order of parameters is as
        follows: `BatAlgorithm(D, NP, N_Gen, A, r, Qmin, Qmax, Lower, Upper, function)` where:
        
        - `D`  denotes dimension of the problem,
        - `NP` denotes population size,
        - `N_Gen`  denotes number of generations (iterations),
        - `A` parameter denotes loudness,
        - `r` parameter denotes pulse rate,
        - `Qmin` parameter denotes frequency minimum,
        - `Qmax` parameter denotes frequency maximum,
        - `Lower` denotes lower bound,
        - `Upper` denotes upper bound and
        - `function` passes objective function.
        
        ## CODE EXAMPLE:
        
        ```python
        import random
        from BatAlgorithm import *
        
        def Fun(D, sol):
            val = 0.0
            for i in range(D):
                val = val + sol[i] * sol[i]
            return val
        
        # For reproducive results
        #random.seed(5)
        
        for i in range(10):
            Algorithm = BatAlgorithm(10, 40, 1000, 0.5, 0.5, 0.0, 2.0, -10.0, 10.0, Fun)
            Algorithm.move_bat()
        ```
        
        ## Bugs
        Bugs and extension should be send via Github.
        
        ## Authors
        Iztok Fister Jr. and Marko Burjek
        
        ## References
        
        Yang, X.-S. "A new metaheuristic bat-inspired algorithm." Nature inspired cooperative strategies for optimization (NICSO 2010). Springer
        Berlin Heidelberg, 2010. 65-74.
        
        Fister, I. Jr., Fister, I., Yang, X.-S., Fong, S., Zhuang, Y. "Bat algorithm: Recent advances." IEEE 15th International Symposium on Computational Intelligence and Informatics (CINTI), IEEE, 2014. 163-167.
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
Description-Content-Type: text/markdown
