Implementation of Taguchi and Genetic Algorithm Techniques for Prediction of Optimal Part Dimensions for Polymeric Biocomposites in Fused Deposition Modeling

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Solver</td><td class="align_center">Gamultiobj-multiobjective optimization</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Population vector</td><td class="align_center">Double vector</td></tr><tr><td class="align_left">Population size</td><td class="align_center">50</td></tr><tr><td class="align_left">Creation function</td><td class="align_center">Constraint dependent</td></tr><tr><td class="align_left">Crossover function</td><td class="align_center">Intermediate</td></tr><tr><td class="align_left">Scaling function</td><td class="align_center">Tournament</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

International Journal of Biomaterials

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Table 4

Table 4: Implementation of Taguchi and Genetic Algorithm Techniques for Prediction of Optimal Part Dimensions for Polymeric Biocomposites in Fused Deposition Modeling 

Table 4 | Implementation of Taguchi and Genetic Algorithm Techniques for Prediction of Optimal Part Dimensions for Polymeric Biocomposites in Fused Deposition Modeling 