A novel learning-based binarization scheme selector for swarm algorithms solving combinatorial problems
Date Issued
2021-11
Author(s) USM
DOI
10.3390/math9222887
Abstract
Currently, industry is undergoing an exponential increase in binary-based combinatorial problems. In this regard, metaheuristics have been a common trend in the field in order to design approaches to successfully solve them. Thus, a well-known strategy in
