Contents 1. Introduction
Circuit design is a complex process that requires expertise and a deep understanding of the principles of electrical engineering. The design process involves finding the best parameters that match the circuit specifications, which can be a time-consuming and challenging task, especially for large circuits with multiple inputs and outputs. The traditional approach to circuit design involves mathematical modelling of the circuit, which is necessary to calculate any design specifications. However, this process can be time-consuming and may require significant expertise. A lot of undergraduates and non-electrical graduates are still troubled while designing circuits, especially dynamic circuits. To overcome these challenges, it is proposed an innovative approach that leverages intelligence methods to compute the desired circuit parameters. This approach eliminates the need for manually developing the mathematical modelling of the circuit and allows designers to create and find the appropriate parameters more efficiently. By using intelligence methods, the proposed approach enables designers to optimize circuit performance while reducing the time and effort required for the design process. Here a novel approach to circuit optimization that named as Intelligence Circuit Enhancer (ICE). The implementation of this approach is discussed, and the results obtained are compared with those of conventional methods. Although there have been numerous studies in this field, there are only a few open-source applications available for public use. Hence, it would be very beneficial to have open-source circuit optimization tools that anyone can use to design fundamental circuits and to develop a Python-based circuit optimization tool to enhance the circuit design process [1]. It is used to develop the proposed circuit optimization tool. The proposed tool will provide a user-friendly interface for designing circuits. Python Power Electronics is designed explicitly for power electronic circuit simulation, making it a suitable choice for the proposed circuit optimization tool. The simulator includes models for various power electronic components, such as power diodes, MOSFETs, and IGBTs, and can simulate various circuit topologies such as inverters, converters, and rectifiers. This specialized capability makes Python Power Electronics an ideal choice for designing and optimizing power electronic circuits. The tool's optimization algorithm will be based on evolutionary algorithms, which will make the design process more efficient and effective. However, the limited availability of open-source tools with advanced capabilities makes it challenging for researchers and practitioners to access and use these technologies. The proposed tool will enable users to design various circuits for different applications such as power electronics, renewable energy, and digital circuits. Proposed tool aims to optimize circuit designs more efficiently than traditional optimization methods. The proposed tool will be suitable for optimizing specific circuits, providing designers with specialized optimization options. This can significantly improve the performance and efficiency of the circuit, leading to more reliable and cost-effective solutions [2].
