An Adaptive Parameter Control for the Differential Evolution Algorithm

作者：Reynoso Meza Gilberto^*; Sanchis Javier; Blasco Xavier

来源：10th International Work-Conference on Artificial Neural Networks (IWANN 2009), 2009-06-10 to 2009-06-12.

• Differential Evolution
• Evolutionary Algorithms
• Adaptive control parameter
• evolutionary optimization

The Differential Evolution is a floating-point evolutionary algorithm that has demonstrated good performance on locating the global optima in a wide variety of problems and applications. It has mainly three tuning parameters and their choice is fundamental to ensure good quality solutions. Because of this, adaptive parameter control and self-adaptive parameter control had been object of research. We present a novel scheme for controlling two parameters of the Differential Evolution using fitness information of the population in each generation. The algorithm shows outstanding performance on a well known benchmark functions, improving the standard DE and comparable with similar algorithms.

• 出版日期2009