From 68e162a4a1e5542ab6bf7a5ecf834932bcbe33b3 Mon Sep 17 00:00:00 2001 From: Stefan Dresselhaus Date: Thu, 12 Oct 2017 11:45:56 +0200 Subject: [PATCH] minor corrections --- arbeit/ma.md | 21 +++++++++++---------- 1 file changed, 11 insertions(+), 10 deletions(-) diff --git a/arbeit/ma.md b/arbeit/ma.md index f3518c6..4b03d6a 100644 --- a/arbeit/ma.md +++ b/arbeit/ma.md @@ -10,7 +10,7 @@ chapter. Unless otherwise noted the following holds: - lowercase letters $x,y,z$ - refer to real variables and represent a point in 3D--Space. + refer to real variables and represent the coordinates of a point in 3D--Space. - lowercase letters $u,v,w$ refer to real variables between $0$ and $1$ used as coefficients in a 3D B--Spline grid. @@ -26,14 +26,14 @@ Unless otherwise noted the following holds: \improvement[inline]{Mehr Bilder} Many modern industrial design processes require advanced optimization methods -due to the increased complexity. These designs have to adhere to more and more -degrees of freedom as methods refine and/or other methods are used. Examples for -this are physical domains like aerodynamic (i.e. drag), fluid dynamics (i.e. -throughput of liquid) --- where the complexity increases with the temporal and -spatial resolution of the simulation --- or known hard algorithmic problems in -informatics (i.e. layouting of circuit boards or stacking of 3D--objects). -Moreover these are typically not static environments but requirements shift over -time or from case to case. +due to the increased complexity resulting from more and more degrees of freedom +as methods refine and/or other methods are used. Examples for this are physical +domains like aerodynamic (i.e. drag), fluid dynamics (i.e. throughput of liquid) +--- where the complexity increases with the temporal and spatial resolution of +the simulation --- or known hard algorithmic problems in informatics (i.e. +layouting of circuit boards or stacking of 3D--objects). Moreover these are +typically not static environments but requirements shift over time or from case +to case. Evolutionary algorithms cope especially well with these problem domains while addressing all the issues at hand\cite{minai2006complex}. One of the main @@ -79,7 +79,8 @@ As we transfer the results of Richter et al.\cite{anrichterEvol} from using used, namely *regularity*, *variability*, and *improvement potential*. We introduce these term in detail in Chapter \ref{sec:intro:rvi}. In the original publication the author could show a correlation between these -evolvability--criteria with the quality and potential of such optimization. +evolvability--criteria with the quality and convergence speed of such +optimization. We will replicate the same setup on the same objects but use \acf{FFD} instead of \acf{RBF} to create a local deformation near the control points and evaluate if