A reconsideration on the resolution of phase stability analysis using stochastic global optimization methods: Proposal of a reliable set of benchmark problems

Fonseca-Pérez, R. M.; Bonilla-Petriciolet, Adrián; Tapia-Picazo, Juan Carlos; Jaime-Leal, José Enrique

doi:10.1016/j.fluid.2021.113180

Cited by 3 publications

(1 citation statement)

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“…TPDF minimization was done with the following HS parameters: iter max � 5E10 4 , bw � 0.001, PAR � 0.5, HMCR � 0.85, and HMS � 6. Recently, Fonseca-Pérez et al [249] proposed a benchmark set of phase stability problems to properly evaluate the performance of current and new metaheuristics. A classification of phase stability problems was proposed via a numerical analysis on the performance of several stochastic optimization methods including HS to globally minimize TPDF.…”

Section: Platt Et Al [245]mentioning

confidence: 99%

An Overview of the Application of Harmony Search for Chemical Engineering Optimization

Fonseca-Pérez

Del-Mazo-Alvarado

Luna

et al. 2022

International Journal of Chemical Engineering

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Harmony search algorithm and its variants have been used in several applications in medicine, telecommunications, computer science, and engineering. This article reviews the global and multi-objective optimization for chemical engineering using harmony search. The main features of the HS method and several of its popular variants and hybrid versions including their relevant algorithm characteristics are described and discussed. A variety of global and multi-objective optimization problems from chemical engineering and their resolution using HS-based methods are also included. These problems involve thermodynamic calculations (phase stability analysis, phase equilibrium calculations, parameter estimation, and azeotrope calculation), heat exchanger design, distillation simulation, life cycle analysis, and water distribution systems, among others. Remarks on future developments of HS and its related algorithms for global and multi-objective optimization in chemical engineering are also provided in this review. HS is a reliable and promising stochastic optimizer to resolve challenging global and multi-objective optimization problems for process systems engineering.

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Section: Platt Et Al [245]mentioning

confidence: 99%