APPLICATION OF AUGMENTED LAGRANGE MULTIPLIER METHOD AS A PARAMETER PENALTY ON THE OPTIMIZATION CROSS-SECTIONAL AREA OF A TRUSS TO MINIMIZE WEIGHT USING GENETIC ALGORITHM

APPLICATION OF AUGMENTED LAGRANGE MULTIPLIER METHOD AS A PARAMETER PENALTY ON THE OPTIMIZATION CROSS-SECTIONAL AREA OF A TRUSS TO MINIMIZE WEIGHT USING GENETIC ALGORITHM

The optimization is a process to achieve optimum results. The optimization in structural engineering design process to obtain a strong structure, light wight structure and safe structure(satisfy the constraints given). To obtain optimum results in the optimization process is very dependent algorithm...

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Main Author: ( NIM : 20113059), ADRIYANSYAH
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/20776
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:20776
spelling id-itb.:207762017-11-06T08:48:58ZAPPLICATION OF AUGMENTED LAGRANGE MULTIPLIER METHOD AS A PARAMETER PENALTY ON THE OPTIMIZATION CROSS-SECTIONAL AREA OF A TRUSS TO MINIMIZE WEIGHT USING GENETIC ALGORITHM ( NIM : 20113059), ADRIYANSYAH Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/20776 The optimization is a process to achieve optimum results. The optimization in structural engineering design process to obtain a strong structure, light wight structure and safe structure(satisfy the constraints given). To obtain optimum results in the optimization process is very dependent algorithm used. <br /> This thesis discusses the cross-sectional area optimization truss with stress constraint, risk, and displacement. Constraints optimization converted into a problem without constraints by summing the constraint is violated to the objective function in the form of penalty function. Parameter penalty searched using Augmented Lagrange Multiplier (ALM) and process optimization solved by genetic algorithm. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description The optimization is a process to achieve optimum results. The optimization in structural engineering design process to obtain a strong structure, light wight structure and safe structure(satisfy the constraints given). To obtain optimum results in the optimization process is very dependent algorithm used. <br /> This thesis discusses the cross-sectional area optimization truss with stress constraint, risk, and displacement. Constraints optimization converted into a problem without constraints by summing the constraint is violated to the objective function in the form of penalty function. Parameter penalty searched using Augmented Lagrange Multiplier (ALM) and process optimization solved by genetic algorithm.
format Theses
author ( NIM : 20113059), ADRIYANSYAH
spellingShingle ( NIM : 20113059), ADRIYANSYAH
APPLICATION OF AUGMENTED LAGRANGE MULTIPLIER METHOD AS A PARAMETER PENALTY ON THE OPTIMIZATION CROSS-SECTIONAL AREA OF A TRUSS TO MINIMIZE WEIGHT USING GENETIC ALGORITHM
author_facet ( NIM : 20113059), ADRIYANSYAH
author_sort ( NIM : 20113059), ADRIYANSYAH
title APPLICATION OF AUGMENTED LAGRANGE MULTIPLIER METHOD AS A PARAMETER PENALTY ON THE OPTIMIZATION CROSS-SECTIONAL AREA OF A TRUSS TO MINIMIZE WEIGHT USING GENETIC ALGORITHM
title_short APPLICATION OF AUGMENTED LAGRANGE MULTIPLIER METHOD AS A PARAMETER PENALTY ON THE OPTIMIZATION CROSS-SECTIONAL AREA OF A TRUSS TO MINIMIZE WEIGHT USING GENETIC ALGORITHM
title_full APPLICATION OF AUGMENTED LAGRANGE MULTIPLIER METHOD AS A PARAMETER PENALTY ON THE OPTIMIZATION CROSS-SECTIONAL AREA OF A TRUSS TO MINIMIZE WEIGHT USING GENETIC ALGORITHM
title_fullStr APPLICATION OF AUGMENTED LAGRANGE MULTIPLIER METHOD AS A PARAMETER PENALTY ON THE OPTIMIZATION CROSS-SECTIONAL AREA OF A TRUSS TO MINIMIZE WEIGHT USING GENETIC ALGORITHM
title_full_unstemmed APPLICATION OF AUGMENTED LAGRANGE MULTIPLIER METHOD AS A PARAMETER PENALTY ON THE OPTIMIZATION CROSS-SECTIONAL AREA OF A TRUSS TO MINIMIZE WEIGHT USING GENETIC ALGORITHM
title_sort application of augmented lagrange multiplier method as a parameter penalty on the optimization cross-sectional area of a truss to minimize weight using genetic algorithm
url https://digilib.itb.ac.id/gdl/view/20776
_version_ 1821120259183083520

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