Solution of Process Synthesis Problem Using Metaheuristic Optimization Algorithms

Real-world optimization issues have been shown to be quite difficult to solve due to the fact that their objective functions are quite complicated and there are a significant number of constraints involved. Several metaheuristics and/or different techniques for addressing constraints have been proposed as potential solutions to these challenges. A freshly constructed method has to be benchmarked against some difficult issues that occur in the current world so that its efficacy and robustness may be verified. In the body of published work, a significant number of real-world test issues have been proposed. One of these problems is the process synthesis problem, which is one of the process synthesis and design problems. In this study, the process synthesis problem has been solved with the COOT optimizer, moth-flame optimization, and Harris hawks optimization, which have been popular and very successful recently.