This tutorial and review of multi-objective optimization (MOO) gives a detailed explanation of
the 5 steps to create, solve, and then select the optimum result. Unlike single-objective …

Process optimization often has two or more objectives which are conflicting. For such
situations, multiobjective optimization (MOO) provides many optimal solutions, which are …

Abstract While Multi-objective Optimization (MOO) has provided many methods and tools for
solving design problems, food processes have benefitted little from them. MOO …

To accelerate data-driven studies for various optimization applications in chemical
engineering, a comprehensive machine learning aided multi-objective optimization and …

This work presents a hybrid stochastic-deterministic algorithm for optimal design of process
flowsheets, ie, finding the optimal design variables and operating conditions of multiple …

A closed-loop, indirect, supercritical Carbon Dioxide (sCO 2) power cycle is attractive for
fossil-fuel, solar thermal and nuclear applications owing to its ability to achieve higher …

Ammonia production has traditionally been based on large-scale plants. The thrust toward
large-scale production to gain economic advantages has overshadowed the benefits that …

The current study is focused on thermoeconomic analysis of a single effect mechanical
vapor compression (MVC) desalination system operating with and without brine …

The optimization approach is well established in both academia and in industrial practice
with numerous applications in chemical engineering. Several tools are readily available for …

The paper presents an exergo-economic based design and analysis of a forward-feed multi-
effect mechanical vapor compression desalination system. The analysis is focused on …