MULTI-OBJECTIVE OPTIMIZATION IN MATERIAL DESIGN AND SELECTION

By M. Ashby. 2000

418 citations recorded by the source corpus.

Subfields: Automotive Engineering, Civil and Structural Engineering, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/98e42d256cd515accc819413fdd011534b5d8aa9

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In Automotive Engineering

In Civil and Structural Engineering

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Citations in the corpus

A novel method for materials selection in mechanical design: Combination of non-linear normalization and a modified digital logic method (2007, methodology): “He has also used a multi-objective optimization method to compromise between several conflicting objectives in materials selection [3].”
Optimisation of functionally graded lattice structures using isostatic lines (2017, methodology): “This approach was first proposed by Ashby [37] as a means of formulating quantifiable material selection criteria.”
A decision-making framework model for material selection using a combined multiple attribute decision-making method (2008, methodology): “Ashby [ 2 ] proposed multi-objective optimization in materials design and selection using “utility” functions.”
Selection and performance assessment of Phase Change Materials for heating, ventilation and air-conditioning applications (2015, methodology): “This technique was first proposed by Ashby [30].”
Materials selection in the Life-Cycle Design process: a method to integrate mechanical and environmental performances in optimal choice (2005, methodology): “More sophisticated tools are treated in references on multi-objective optimisation in general [22], and in relation to the specific case of materials selection [23].”
Multi-objective optimization of material selection for sustainable products: Artificial neural networks and genetic algorithm approach (2009, background): “Ashby [9] established the value function to determine the optimum point.”