Let's consider the array: [11, 12, 15, 18, 2, 5, 6, 8]. First, we need to analyze the array using the concept of binary search. If the middle element is smaller than both of its neighboring elements, then it is the minimum. If the middle element is greater than the element at the high index, the minimum element is located to the right (between high and mid); otherwise, it is found to the left (between low and mid). Now, let's apply these steps to our example: Initially, we have low=0 and high=7 (mid=3). The mid element is 18, which is greater than the element at the high index. Therefore, the minimum element must be on the right side. We update low to mid+1, resulting in low=4. Next, with low=4 and high=7 (mid=5), the mid element is 5, which again is greater than the high index element. Thus, the minimum element is still to the right. We set low to mid+1, making low=6. Now, with low=6 and high=7 (mid=6), the mid element is 6, which remains greater than the high index element. Therefore, the minimum element is in the right section again. We update low to mid+1, giving us low=7. Finally, we have low=7 and high=7 (mid=7). We exit the loop, and the answer is 7. Consequently, the array has been rotated 7 times.