Optimum Design of Power Transformer Based on an Improved Adaptive Genetic Algorithm
Haijun Shi · Jiangsu Electrical Engineering · 2005
Some interrelated key technical problems such as the probability of crossover and mutation,the fitness function for the traditional genetic algorithm are further reformed. An adaptive genetic algorith(AGA)is introduced and improved. Meanwhile,the cases of single and multi-objective optimum design of the power transformer are given. All the optimization results are satisfactory and show that improved AGA has a bright application prospect in the field of power transformer design.