Review of utilization of genetic algorithms in heat transfer problems

L Gosselin, M Tye-Gingras, F Mathieu-Potvin - International journal of heat …, 2009 - Elsevier
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 …

A state of art review on applications of multi-objective evolutionary algorithms in chemicals production reactors

Z Al Ani, AM Gujarathi, AH Al-Muhtaseb - Artificial Intelligence Review, 2023 - Springer
Chemical reactors are employed to produce several materials, which are utilized in
numerous applications. The wide use of these chemical engineering units shows their …

Differential evolution for multi-objective optimization

BV Babu, MML Jehan - The 2003 Congress on Evolutionary …, 2003 - ieeexplore.ieee.org
Two test problems on multiobjective optimization (one simple general problem and the
second one on an engineering application of cantilever design problem) are solved using …

A fitness landscape ruggedness multiobjective differential evolution algorithm with a reinforcement learning strategy

Y Huang, W Li, F Tian, X Meng - Applied Soft Computing, 2020 - Elsevier
Optimization is the process of finding and comparing feasible solutions and adopting the
best one until no better solution can be found. Because solving real-world problems often …

Multiobjective differential evolution (MODE) for optimization of adiabatic styrene reactor

BV Babu, PG Chakole, JHS Mubeen - Chemical Engineering Science, 2005 - Elsevier
In this paper, a novel algorithm is proposed for solving multiobjective optimization problems.
The proposed algorithm, multiobjective differential evolution (MODE), is applied to optimize …

Comparison of NSGA-III with NSGA-II for multi objective optimization of adiabatic styrene reactor

P Chaudhari, AK Thakur, R Kumar, N Banerjee… - Materials Today …, 2022 - Elsevier
Nature is continuously evolving itself by the different mechanisms so that every aspect of it
becomes optimized for different objectives around it. Evolutionary algorithms are developed …

Hybrid process modeling and optimization strategies integrating neural networks/support vector regression and genetic algorithms: study of benzene isopropylation on …

S Nandi, Y Badhe, J Lonari, U Sridevi, BS Rao… - Chemical Engineering …, 2004 - Elsevier
This paper presents a comparative study of two artificial intelligence based hybrid process
modeling and optimization strategies, namely ANN-GA and SVR-GA, for modeling and …

Computational thermal-hydraulic analysis and geometric optimization of elliptic and circular wavy fin and tube heat exchangers

MT Erdinc - International Communications in Heat and Mass …, 2023 - Elsevier
Abstract The three-dimensional (3D) fluid flow and heat transfer analysis and geometric
optimization of two rows circular and elliptic wavy fin and tube heat exchanger (FTHE) are …

A framework for multi-stakeholder decision-making and conflict resolution

AW Dowling, G Ruiz-Mercado, VM Zavala - Computers & Chemical …, 2016 - Elsevier
We propose a decision-making framework to compute compromise solutions that balance
conflicting priorities of multiple stakeholders on multiple objectives. In our setting, we shape …

Spatial multi-objective optimization approach for land use allocation using NSGA-II

M Shaygan, A Alimohammadi… - IEEE Journal of …, 2013 - ieeexplore.ieee.org
Analysis and evaluation of land use patterns are of prime importance for natural resources
management. Recent studies on land use allocation have been mainly based on linear …