Abstract: With blockchain technology’s intrinsic properties of reliable and decentralized data storage and verification, it has enormous potential to transform a wide range of industries. However, simulating the performance and scalability of Blockchain systems is frequently required. In this study, a novel strategy that uses the Artificial Bee Colony (ABC) algorithm and Harris' algorithm has been suggested to enhance a commonly used Blockchain simulator called BlockSim. The goal of this research is to use optimization methods to improve the efficiency and scalability of Blockchain systems. An anticipate here is that by fine-tuning, the settings and refining the underlying mechanics of Blockchain simulators, solutions for overcoming performance constraints and achieving increased scalability will be able to identify. BlockSim, a well-known and extensively used Blockchain simulator, is used to evaluate our suggested optimization strategies. The effectiveness of various situations and illustrate the beneficial influence of suggested optimization methods through a series of carefully constructed tests has been examined. According to our outcomes, combining the ABC algorithm, which is inspired by honeybee behavior, and Harris's algorithm, which is known for its efficiency in solving complex optimization problems, can significantly improve the performance and scalability of Blockchain systems. In addition, the proposed optimization approach presents feasible solutions to the issues that Blockchain systems encounter, allowing them to sustain higher volumes of transactions, accommodate more users, and ultimately facilitate the transformation of various industries through secure and efficient decentralized data management. ABC enhance the profits of BlockSim to 110.6, at the same time Harris gives 110 for profit of the BlockSim simulator.

Blockchain Technology, Blockchain Simulator, Artificial Bee Colony (ABC) Algorithm, Harris’s Algorithm, Optimization and Scalability