An improved flexible tolerance method for solving nonlinear constrained optimization problems: Application in mass integration

Alice Medeiros Lima; Wu Hong Kwong; Antonio José Gonçalves Cruz

doi:10.1016/j.cjche.2016.07.019

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An improved flexible tolerance method for solving nonlinear constrained optimization problems: Application in mass integration

Process Systems Engineering and Process Safety | Updated：2026-01-06

- An improved flexible tolerance method for solving nonlinear constrained optimization problems: Application in mass integration
- An improved flexible tolerance method for solving nonlinear constrained optimization problems: Application in mass integration
- 中国化学工程学报（英文版） 2017年25卷第5期页码：617-631
- Affiliations：
  
  1. Chemical Engineering Graduate Program, Federal University of São Carlos, São Carlos,Brazil
  2. Department of Chemical Engineering, Rod. Washington Luiz, Km 235-SP 310, São Carlos/SP,Brazil,13565-905
  3. Department of Chemical Engineering, Federal University of São Carlos, São Carlos,Brazil
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2016.07.019
  中图分类号：
- 纸质出版：2017
- Accepted：
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Alice Medeiros Lima, Wu Hong Kwong, Antonio José Gonçalves Cruz. An improved flexible tolerance method for solving nonlinear constrained optimization problems: Application in mass integration[J]. 中国化学工程学报（英文版）, 2017,25(5):617-631.

Alice Medeiros Lima, Wu Hong Kwong, Antonio José Gonçalves Cruz. An improved flexible tolerance method for solving nonlinear constrained optimization problems: Application in mass integration[J]. , 2017, 25(5): 617-631.
Alice Medeiros Lima, Wu Hong Kwong, Antonio José Gonçalves Cruz. An improved flexible tolerance method for solving nonlinear constrained optimization problems: Application in mass integration[J]. 中国化学工程学报（英文版）, 2017,25(5):617-631. DOI： 10.1016/j.cjche.2016.07.019.

Alice Medeiros Lima, Wu Hong Kwong, Antonio José Gonçalves Cruz. An improved flexible tolerance method for solving nonlinear constrained optimization problems: Application in mass integration[J]. , 2017, 25(5): 617-631. DOI： 10.1016/j.cjche.2016.07.019.

摘要

Abstract

This paper proposes the use of the flexible tolerance method (FTM) modified with adaptive Nelder-Mead parameters and barrier to solve constrained optimization problems. The problems used to analyze the performance of the methods were taken from G-Suite functions

and the methods with the best performance were applied in mass integration problems. Four methods were proposed:(1) flexible tolerance method (FTM) using adaptive parameters (FTMA)

(2) flexible tolerance method with scaling (FTMS) and with adaptive parameters (FTMAS)

(3) FTMS including the barrier modification (MFTMS) and (4) MFTMS hybridized with PSO (MFTMS-PSO). The success rates of these methods were 100% (MFTMS)

85% (MFTMS-PSO)

40% (FTMAS) and 30% (FTMA). Numerical experiments indicated that the MFTMS could efficiently and reliably improve the accuracy of global optima. In mass integration

the method was able

from current process situation

to reach the optimum process configuration that includes integration issues

which was not possible using FTM in its standard formulation. The hybridization of FTMS with PSO (without barrier)

FTMS-PSO

was also able to solve mass integration problems efficiently.

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