Convergence Study of Biogeography Based Optimization

Abstract

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.

Monte carlo simulation with bilstm for day-ahead stock portfolio management

“…The classical Markowitz mean-variance optimization algorithms for portfolio selection problems are discussed with computational complexity [8]. The study offers a comprehensive review of current portfolio optimization research, examining 82 scholarly articles to highlight that fuzzy decision theory and goal programming are key mathematical techniques utilized in solving these problems [9]. The study explores cutting-edge multi objective optimization techniques-NSGA-II, PESA, and SPEA2-to solve mixed-integer problems, conducting a comparative analysis of their performance using established community metrics.…”