Novel applications of soft computing techniques for industrial and environmental enterprises.

This special issue compiles recent applications of soft-computing techniques for managing enterprises within industrial and environmental sectors. Additionally, a variety of soft-computing techniques have been applied, such as deep learning, random forest, particle swarm optimization, clustering, and metaheuristics among others. The new modified PSO model for the inventory-production system in a unique optimization model is presented in this paper. [Extracted from the article]