Please use this identifier to cite or link to this item: https://doi.org/10.1002/9781118341704
Title: Multi-Objective Optimization in Chemical Engineering: Developments and Applications
Authors: Rangaiah, G.P. 
Bonilla-Petriciolet, A.
Issue Date: 2-Apr-2013
Source: Rangaiah, G.P.,Bonilla-Petriciolet, A. (2013-04-02). Multi-Objective Optimization in Chemical Engineering: Developments and Applications. Multi-Objective Optimization in Chemical Engineering: Developments and Applications : 1-512. ScholarBank@NUS Repository. https://doi.org/10.1002/9781118341704
Abstract: Sensitivity analysis should be considered a pre-requisite for statistical model building in any scientific discipline where modelling takes place. For a non-expert, choosing the method of analysis for their model is complex, and depends on a number of factors. This book guides the non-expert through their problem in order to enable them to choose and apply the most appropriate method. It offers a review of the state-of-the-art in sensitivity analysis, and is suitable for a wide range of practitioners. It is focussed on the use of SIMLAB a widely distributed freely-available sensitivity analysis software package developed by the authors for solving problems in sensitivity analysis of statistical models. Other key features: Provides an accessible overview of the current most widely used methods for sensitivity analysis. Opens with a detailed worked example to explain the motivation behind the book. Includes a range of examples to help illustrate the concepts discussed. Focuses on implementation of the methods in the software SIMLAB - a freely-available sensitivity analysis software package developed by the authors. Contains a large number of references to sources for further reading. Authored by the leading authorities on sensitivity analysis. © 2013 John Wiley & Sons, Ltd.
Source Title: Multi-Objective Optimization in Chemical Engineering: Developments and Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/117419
ISBN: 9781118341667
DOI: 10.1002/9781118341704
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