Enhanced Niche Genetic Algorithm

The enhanced niche genetic algorithm program for transformer fault prediction represents an optimization method based on genetic algorithms that simulates biological evolution processes to find optimal solutions for accurate transformer fault prediction. This program incorporates niche algorithm concepts by implementing population size constraints and introducing competition mechanisms through specialized coding techniques. The algorithm employs fitness sharing functions and crowding mechanisms to maintain population diversity, ensuring convergence toward superior solutions. In transformer fault prediction applications, this enhanced niche genetic algorithm demonstrates improved accuracy and efficiency through its sophisticated selection operators, crossover techniques, and mutation strategies. The implementation includes specialized evaluation functions that process transformer operational data, enabling effective support for normal transformer operation and maintenance decision-making.