An Emerging Optimal System using Fraudulent Transaction Detection System using block chain.

A Block chain technology works well in a variety of problem domains is the bat-inspired algorithm (BA). Modified with Enhanced Bat Algorithm (M-EBA) transaction system to overcome the original BA's optimal limitation. In order to improve convergence speed to the optimal solution and avoid local optima trapping, it takes into account the frequency and velocity of the current best solution. The results show that the M-EBA algorithm performs noticeably better than competing algorithms. Additionally, M-EBA analyzes the effects of various parameters to identify the optimal combination of parameter values in the context of numerical optimization and successfully solves a real-world assignment problem which is typically solved using linear programming techniques, with satisfactory results. To detect the fraudulent transaction system in future directions for forthcoming developments are proposed, including the use of BA in large-scale, dynamic, robust, multi-objective optimization as as well as improve BA performance by utilizing election mechanisms, tuning parameters, structure population. [ABSTRACT FROM AUTHOR]