Greedy randomized adaptive search procedure

The Greedy Randomized Adaptive Search Procedure (GRASP) is a metaheuristic optimization algorithm designed to solve combinatorial and discrete optimization problems. It involves two main phases: construction and local search, repeated iteratively until a stopping criterion is met. Here's a more detailed breakdown of its components: ### 1. **Construction Phase:** During the construction phase, a feasible solution is built incrementally.