An Offline Weighted-Bagging Data-Driven Evolutionary Algorithm with Data Generation Based on Clustering
In recent years, a variety of data-driven evolutionary algorithms (DDEAs) have been proposed to solve time-consuming and computationally intensive optimization problems.DDEAs are usually divided into offline DDEAs and online DDEAs, with offline DDEAs being the most widely studied and proven to display excellent performance.However, most offline DDE