Global optimization plays a key role in many areas but can be challenging due to the complexity of the objective function, the potential for multiple best solutions, and problem constraints. The focus here will be on continuous problems and deterministic methods such as branch and bound. This method explores the solution space by dividing it into smaller subboxes. However, as the method converges to the optimal solution, it produces more subboxes, leading to the cluster problem which increases the running time.
In this work, a new technique to avoid the cluster problem is introduced by...