Complex industrial systems often contain various uncertainties. Hence sophisticated fuzzy
optimization (metaheuristics) techniques have become commonplace; and are currently …

Sensitivity analysis is designed to study the effect on the optimal solution of changes in
model parameters. This analysis is known to be an integral part of any real‐life problem …

The combination of Industry 4.0 and synthetic biology is examined in this book chapter in a
well-planned way for establishing a carbon–neutral economy. In light of growing …

One of the most interesting and promising areas of development of machine learning is the
active involvement of a human in the process of building a model. However, there are …

The modern world demands more and better sources of energy to satisfy its growing
consumption needs. The global warming of our planet and the problems derived from it are …

One of the effective method for solving the multi-objective optimization problems is the ε-
constraint method which, unlike the weighted sum method is able to find non-dominated …