It can be seen from the formula (2) that the value of coefficient A changes with the change of distance control parameter a during the iteration. In other words, the setting of distance control parameter a affects the balance between GWO's exploration and development capabilities. However, by formula (4), the distance control parameter a decreases from 2 linear to 0. The larger distance control parameter a value in the early part of the iteration makes the search step is larger, the exploration ability is strong, and the algorithm avoids the precocious convergence, and the smaller a value in the later iteration makes the group concentrate in a certain area search, the development ability is strong, and the convergence speed is accelerated. However, in the actual optimization problem, because the algorithm search process is extremely complex, it is difficult to adapt the control parameter a linear decreasing strategy to the actual situation of search.
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