Cross entropy-based memetic algorithms: An application study over the tool switching problem

Autor:	Jhon Edgar Amaya, Carlos Cotta, AntonioJ. Fernández-Leiva
Jazyk:	angličtina
Rok vydání:	2013
Předmět:	Cross-entropy method memetic algorithms hybridization tool switching problem Electronic computers. Computer science QA75.5-76.95
Zdroj:	International Journal of Computational Intelligence Systems, Vol 6, Iss 3 (2013)
Druh dokumentu:	article
ISSN:	18756891 25868403 1875-6883
DOI:	10.1080/18756891.2013.792542
Popis:	This paper presents a parameterized schema for building memetic algorithms based on cross-entropy (CE) methods. This novel schema is general in nature, and features multiple probability mass functions and Lamarckian learning. The applicability of the approach is assessed by considering the Tool Switching Problem, a complex combinatorial problem in the field of Flexible Manufacturing Systems. An exhaustive evaluation (including techniques ranging from local search and evolutionary algorithms to constructive methods) provides evidence of the effectiveness of CE-based memetic algorithms.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/203b8563e5d64400a57f02e0df7e11ba Zobrazit plný text záznamu Full text from SpringerLink View record in DOAJ