Repository files navigation

The main objective is to create an implementation of bat algorithm in Python programming language.

pip install BatAlgorithm

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 withinBatAlgorithm() constructor. Order of parameters is asfollows: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.

importrandomfromBatAlgorithmimport*defFun(D,sol):val=0.0foriinrange(D):val=val+sol[i]*sol[i]returnval# For reproducive results#random.seed(5)foriinrange(10):Algorithm=BatAlgorithm(10,40,1000,0.5,0.5,0.0,2.0,-10.0,10.0,Fun)Algorithm.move_bat()

Bugs and extension should be send via Github.

Iztok Fister Jr. and Marko Burjek

Yang, X.-S. "A new metaheuristic bat-inspired algorithm." Nature inspired cooperative strategies for optimization (NICSO 2010). SpringerBerlin 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.