Analysis of Weighting and Selection Methods for Pareto-Optimal Solutions of Multiobjective Optimization in Chemical Engineering Applications-Reference-Cited by-同舟云学术

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Analysis of Weighting and Selection Methods for Pareto-Optimal Solutions of Multiobjective Optimization in Chemical Engineering Applications

Published:2020-07-20 Issue:33 Volume:59 Page:14850-14867
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Wang Zhiyuan¹^ORCID,Parhi Sidharth Sankar²^ORCID,Rangaiah Gade Pandu¹³^ORCID,Jana Amiya K.²^ORCID

Affiliation:

1. Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore

2. Energy and Process Engineering Laboratory, Department of Chemical Engineering, Indian Institute of Technology, Kharagpur 721302, India

3. School of Chemical Engineering, Vellore Institute of Technology, Vellore 632014, India

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.0c00969

Reference51 articles.

1. Application and Analysis of Methods for Selecting an Optimal Solution from the Pareto-Optimal Front obtained by Multiobjective Optimization

2. Multi-Objective Optimization Applications in Chemical Process Engineering: Tutorial and Review

3. Purshouse, R. C.; Deb, K.; Mansor, M. M.; Mostaghim, S.; Wang, R. A Review of Hybrid Evolutionary Multiple Criteria Decision Making Methods. IEEE Congress on Evolutionary Computation (CEC) Beijing; IEEE, 2014, 1147–1154.

4. Open-loop based controllability criterion applied to stochastic global optimization for intensified distillation sequences

5. Conceptual Approach in Multi-Objective Optimization of Packed Bed Membrane Reactor for Ethylene Epoxidation Using Real-coded Non-Dominating Sorting Genetic Algorithm NSGA-II

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