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contributor authorVojin Jovanovic
contributor authorKazem Kazerounian
date accessioned2017-05-09T00:03:01Z
date available2017-05-09T00:03:01Z
date copyrightSeptember, 2000
date issued2000
identifier issn1050-0472
identifier otherJMDEDB-27674#265_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/124075
description abstractThis paper describes a method for searching of global minima in design optimization problems. The method is applicable to any general nonlinear function. It is based on utilizing sensitive fractal areas to locate all of the solutions along one direction in a variable space. The search begins from an arbitrary chosen point in the variable space and descends towards a better design along a randomly chosen direction. Descent depends on finding points that belong to a fractal set which can be used to locate all of the solutions along that direction. The process is repeated until optimal design is obtained. To examine the behavior of the algorithm appropriate examples were selected and results discussed. [S1050-0472(00)00703-0]
publisherThe American Society of Mechanical Engineers (ASME)
titleOptimal Design Using Chaotic Descent Method
typeJournal Paper
journal volume122
journal issue3
journal titleJournal of Mechanical Design
identifier doi10.1115/1.1287498
journal fristpage265
journal lastpage270
identifier eissn1528-9001
keywordsAlgorithms
keywordsDesign
keywordsOptimization
keywordsFractals
keywordsFunctions
keywordsNewton's method AND Equations
treeJournal of Mechanical Design:;2000:;volume( 122 ):;issue: 003
contenttypeFulltext


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