This review presents when and how Genetic Algorithms (GAs) have been used over the last
15 years in the field of heat transfer. GAs are an optimization tool based on Darwinian …

Multiobjective optimization (MOO) techniques are of much interest with their applications to
petroleum refinery catalytic processes for finding optimal solutions in the midst of conflicting …

Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …

There are limited coronavirus disease 2019 (COVID-19) testing kits, therefore, development
of other diagnosis approaches is desirable. The doctors generally utilize chest X-rays and …

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The combination and …

The advancements in automated diagnostic tools allow researchers to obtain more and
more information from medical images. Recently, to obtain more informative medical …

This paper proposes a new perspective for solving systems of complex nonlinear equations
by simply viewing them as a multiobjective optimization problem. Every equation in the …

In recent years, evolutionary algorithms (EAs) are gaining popularity for finding the optimal
solution of non-linear multimodal problems encountered in many engineering disciplines …

Differential evolution (DE) and its various strategies are applied for the optimal design of
shell-and-tube heat exchangers in this study. The main objective in any heat exchanger …

A large number of process synthesis and design problems in chemical engineering can be
modeled as mixed integer nonlinear programming (MINLP) problems. They involve …