TY - JOUR AU - Mishra, D. K. AU - Shinde, Vikas AU - Wadhwa, Kamal AU - Chaudhary, Sanjay PY - 2018/10/09 Y2 - 2024/03/29 TI - Convergence Study of Biogeography Based Optimization JF - Asian Journal of Computer Science and Technology JA - AJCST VL - 7 IS - 3 SE - Articles DO - 10.51983/ajcst-2018.7.3.1887 UR - https://ojs.trp.org.in/index.php/ajcst/article/view/1887 SP - 33-38 AB - <p>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.</p> ER -