DocumentCode :
603431
Title :
Neighborhood Hybrid Structure for the Optimization of Mechanical Properties of a Microalloyed Steel Based on Its Chemical Composition
Author :
Juarez-Chavez, Jazmin Y. ; Cruz-Chavez, Marco A. ; Barquera, S.A.S. ; Illanes, B.C. ; del Carmen Peralta-Abarca, Jesus ; Martinez-Bahena, B. ; Moreno-Bernal, Pedro
fYear :
2012
fDate :
19-23 Nov. 2012
Firstpage :
147
Lastpage :
152
Abstract :
This article presents the Iterated Local Search Algorithm (ILS) heuristic with a neighborhood hybrid structure, composed of four different types of adjacent structures. Their effectiveness was evaluated to maximize the micro alloyed steels mechanical strength. Tests show that ILS using a hybrid structure has better mechanical strength for the micralloyed steel due to its chemical composition.
Keywords :
alloy steel; genetic algorithms; iterative methods; materials science computing; mechanical strength; yield stress; iterated local search algorithm heuristics; mechanical properties; mechanical strength; microalloyed steel; neighborhood hybrid structure; optimization; Local search; Microstructures; Stress;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2012 IEEE Ninth
Conference_Location :
Cuernavaca
Print_ISBN :
978-1-4673-5096-9
Type :
conf
DOI :
10.1109/CERMA.2012.31
Filename :
6524570
Link To Document :
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