Explain the Ant Colony Optimisation Algorithm with the help of an example.

Examine the issue of graph color. To discover a solution, contrast the greedy and backtracking techniques. Programming languages like Python, C/C++, and Java are examples.

Computer Science A way to avoid overfitting in Deep Neural Networks is to add an additional term R to the loss function L (for example L can be the cross entropy loss) as follows: L(w) + λR(w). (1) You know that one choice for R is the L2 norm, i.e. R(w) = ||w||2 2 . One friend of yours from the School of Maths told you however that there’s no need to use squares (i.e. powers of two) and that you can achieve the same effect by using absolute values, i.e. the L1 norm: R(w) = ||w||1. Would you agree with him? i.e. is the use of the L2 norm equivalent to using the L1 norm for regularization purposes? Justify your answer

We saw the mechanics of Tree Traversals and discussed how they're different from one another, but if we want to write practical software, we also need to know when we should be using the techniques we're learning about. In each of the scenarios described below in which a tree traversal is required, what would be the appropriate kind of tree traversal to use? For each one, briefly explain (in no more than a sentence or two) why. 1. You're writing an analysis tool for a hierarchical organization, in which there is one person fundamentally in charge, to whom some number of people report, to each of whom some number of people report, and so on. There is a ranking in the organization, so the person in charge has rank 1, the people who report to that person have the rank 2, the people who report to the rank-2 people have the rank 3, and so on. Your input is this kind of organizational hierarchy. Your desired output is to be able to find the highest-ranking person (i.e., the person with the…