IADE: An Improved Differential Evolution Algorithm to Preserve Sustainability in a 6G Network

Differential evolution (DE) algorithm is utilized to find an optimized solution in multidimensional real applications like 5G/6G networked devices and support unlimited connectivity for terrestrial networks due high efficiency, robustness, easy achievements. With the development of new emerging rise big data, DE encounters a series challenges, such as slow convergence rate late iteration, strong parameter dependence, easiness fall into local optimum. These issues exponentially increase energy power consumption communications computing technologies network data center. To address this leverage practical solution, paper introduces IADE , improved adaptive algorithm, solve problems mentioned earlier. IADE improves scaling factor, crossover probability, variation, selection strategy algorithm. In IADE, parameters adaptively adjusted with population’s iterative meet parameter’s different requirements values steering traffic each period. Numerous experiments are carried out through benchmark function evaluate performance results obtained from experiment illustrate that surpasses algorithms terms accuracy speed large tasks around 10%, respectively.