Open AccessConvergence Study of Biogeography Based Optimization
Author(s) -
Divya Mishra,
Vikas Shinde,
Kamal Wadhwa,
Sanjay Chaudhary
Publication year - 2018
Publication title -
asian journal of computer science and technology
Language(s) - English
Resource type - Journals
eISSN - 2583-7907
pISSN - 2249-0701
DOI - 10.51983/ajcst-2018.7.3.1887
Subject(s) - benchmark (surveying) , convergence (economics) , fitness function , mathematical optimization , algorithm , computer science , set (abstract data type) , rate of convergence , function (biology) , mathematics , genetic algorithm , evolutionary biology , geography , biology , key (lock) , computer security , geodesy , economics , programming language , economic growth
Biogeography based optimization BBO is a progressive algorithm. It is induced by Biogeography. BBO is more powerful algorithm among the biology based optimization methods. In this paper examines the convergence of BBO algorithm on some fitness functions. BBO algorithm handles the best solution from one off spring to the next converges to the universal optimum. The convergence rate evaluate of BBO algorithm by simulation for some fitness function. A set of 12 standard benchmark function performance of convergence is studied by BBO algorithm.