Cloud computing load balancing method and system based on adaptive variation differential evolution

The invention discloses a cloud computing load balancing method and system based on adaptive variation differential evolution. The method comprises the following steps: firstly, randomly generating an initial population according to a set initial iteration parameter; calculating an adaptive value of each individual in the population of the current iteration round, finding out an optimal solution of the current population, obtaining a population similarity coefficient of the current population, and determining a corresponding mutation operation mode; then carrying out crossover operation to obtain a crossover operation result; generating an updated population by adopting an error performance index ITAE according to the fitness function; and finally, when the current iteration round is judged to be the maximum iteration number, calling an ant colony algorithm to calculate a global optimal path. It can be seen that according to the method, randomly initialized parameters such as pheromones of the ACO algorithm a