Neighborhood Hybrid Structure for the Optimization of Mechanical Properties of a Microalloyed Steel Based on Its Chemical Composition

Autor:	J. Del Carmen Peralta-Abarca, Jazmin Yanel Juarez-Chavez, Marco Antonio Cruz-Chávez, Pedro Moreno-Bernal, Beatriz Martínez-Bahena, Sergio A. Serna Barquera, B. C. Illanes
Rok vydání:	2012
Předmět:	Materials science business.industry Heuristic (computer science) Iterated local search Iterative method Alloy steel Structural engineering engineering.material Microstructure Stress (mechanics) engineering Local search (optimization) Microalloyed steel Composite material business
Zdroj:	2012 IEEE Ninth Electronics, Robotics and Automotive Mechanics Conference.
DOI:	10.1109/cerma.2012.31
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6fcb593b200df1a1459f62d285a95382 https://doi.org/10.1109/cerma.2012.31 Zobrazit plný text záznamu