Exercise 3.33 Inertia weight update in PSO. In particle swarm optimization, the inertia weight w constitutes a trade-off between global and local explorations. A large inertia weight tends to global exploration (i.e., more diversification) while a smaller inertia weight tends to local exploration in the current search region (i.e., more intensification). Is it interesting to vary the inertia weight during the search from a relatively large value to a small value. If yes, propose such a decreasing scheme of the inertia weight (dynamic or adaptive)