A Tandem Running Strategy-Based Heat Transfer Search Algorithm and Its Application to Chemical Constrained Process Optimization

Constrained optimization problems (COPs) are widely encountered in chemical engineering processes, and are normally defined by complex objective functions with a large number of constraints. Classical optimization methods often fail to solve such problems. In this paper, to solve COPs efficiently, a...

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Autores principales:	Ebrahim Alnahari, Hongbo Shi
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	chemical processes constrained optimization engineering design problems heat transfer search algorithm tandem running strategy global optimization Chemical technology TP1-1185 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/e4d75fbcf0684efd9889e9d4f44d4e1b
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spelling	oai:doaj.org-article:e4d75fbcf0684efd9889e9d4f44d4e1b2021-11-25T18:50:50ZA Tandem Running Strategy-Based Heat Transfer Search Algorithm and Its Application to Chemical Constrained Process Optimization10.3390/pr91119612227-9717https://doaj.org/article/e4d75fbcf0684efd9889e9d4f44d4e1b2021-11-01T00:00:00Zhttps://www.mdpi.com/2227-9717/9/11/1961https://doaj.org/toc/2227-9717Constrained optimization problems (COPs) are widely encountered in chemical engineering processes, and are normally defined by complex objective functions with a large number of constraints. Classical optimization methods often fail to solve such problems. In this paper, to solve COPs efficiently, a two-phase search method based on a heat transfer search (HTS) algorithm and a tandem running (TR) strategy is proposed. The main framework of the MHTS–TR method aims to alternate between a feasible search phase that only examines feasible solutions, using the HTS algorithm, and an infeasible search phase where the treatment of infeasible solutions is relaxed in a controlled manner, using the TR strategy. These two phases play different roles in the search process; the former ensures an intensified optimum in a relevant feasible region, whereas the latter is used to introduce more diversity into the former. Thus, the ensemble of these two complementary phases can provide an effective method to solve a wide variety of COPs. The proposed variant was investigated over 24 well-known constrained benchmark functions, and then compared with various well-established metaheuristic approaches. Furthermore, it was applied for solving a chemical COP. The promising results demonstrate that the MHTS–TR approach is applicable for solving real-world COPs.Ebrahim AlnahariHongbo ShiMDPI AGarticlechemical processesconstrained optimizationengineering design problemsheat transfer search algorithmtandem running strategyglobal optimizationChemical technologyTP1-1185ChemistryQD1-999ENProcesses, Vol 9, Iss 1961, p 1961 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	chemical processes constrained optimization engineering design problems heat transfer search algorithm tandem running strategy global optimization Chemical technology TP1-1185 Chemistry QD1-999
spellingShingle	chemical processes constrained optimization engineering design problems heat transfer search algorithm tandem running strategy global optimization Chemical technology TP1-1185 Chemistry QD1-999 Ebrahim Alnahari Hongbo Shi A Tandem Running Strategy-Based Heat Transfer Search Algorithm and Its Application to Chemical Constrained Process Optimization
description	Constrained optimization problems (COPs) are widely encountered in chemical engineering processes, and are normally defined by complex objective functions with a large number of constraints. Classical optimization methods often fail to solve such problems. In this paper, to solve COPs efficiently, a two-phase search method based on a heat transfer search (HTS) algorithm and a tandem running (TR) strategy is proposed. The main framework of the MHTS–TR method aims to alternate between a feasible search phase that only examines feasible solutions, using the HTS algorithm, and an infeasible search phase where the treatment of infeasible solutions is relaxed in a controlled manner, using the TR strategy. These two phases play different roles in the search process; the former ensures an intensified optimum in a relevant feasible region, whereas the latter is used to introduce more diversity into the former. Thus, the ensemble of these two complementary phases can provide an effective method to solve a wide variety of COPs. The proposed variant was investigated over 24 well-known constrained benchmark functions, and then compared with various well-established metaheuristic approaches. Furthermore, it was applied for solving a chemical COP. The promising results demonstrate that the MHTS–TR approach is applicable for solving real-world COPs.
format	article
author	Ebrahim Alnahari Hongbo Shi
author_facet	Ebrahim Alnahari Hongbo Shi
author_sort	Ebrahim Alnahari
title	A Tandem Running Strategy-Based Heat Transfer Search Algorithm and Its Application to Chemical Constrained Process Optimization
title_short	A Tandem Running Strategy-Based Heat Transfer Search Algorithm and Its Application to Chemical Constrained Process Optimization
title_full	A Tandem Running Strategy-Based Heat Transfer Search Algorithm and Its Application to Chemical Constrained Process Optimization
title_fullStr	A Tandem Running Strategy-Based Heat Transfer Search Algorithm and Its Application to Chemical Constrained Process Optimization
title_full_unstemmed	A Tandem Running Strategy-Based Heat Transfer Search Algorithm and Its Application to Chemical Constrained Process Optimization
title_sort	tandem running strategy-based heat transfer search algorithm and its application to chemical constrained process optimization
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e4d75fbcf0684efd9889e9d4f44d4e1b
work_keys_str_mv	AT ebrahimalnahari atandemrunningstrategybasedheattransfersearchalgorithmanditsapplicationtochemicalconstrainedprocessoptimization AT hongboshi atandemrunningstrategybasedheattransfersearchalgorithmanditsapplicationtochemicalconstrainedprocessoptimization AT ebrahimalnahari tandemrunningstrategybasedheattransfersearchalgorithmanditsapplicationtochemicalconstrainedprocessoptimization AT hongboshi tandemrunningstrategybasedheattransfersearchalgorithmanditsapplicationtochemicalconstrainedprocessoptimization
_version_	1718410684232892416

A Tandem Running Strategy-Based Heat Transfer Search Algorithm and Its Application to Chemical Constrained Process Optimization

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