Balancing Mass Production Machining Lines with Genetic Algorithms

Autor:	Evgeny Gurevsky, Anton V. Eremeev, Olga Guschinskaya, Alexandre Dolgui
Rok vydání:	2010
Předmět:	Set (abstract data type) Mathematical optimization Operations research Series (mathematics) Machining Computer science Line (geometry) Production (economics) Numerical tests
Zdroj:	IFIP Advances in Information and Communication Technology ISBN: 9783642163579 APMS
DOI:	10.1007/978-3-642-16358-6_9
Popis:	A balancing problem for serial machining lines with multi-spindle heads is studied. The objective is to assign a set of given machining operations to a number of machines while minimizing the line cost and respecting a number of given technological and economical constraints. To solve this problem, three different genetic algorithms are suggested and compared via a series of numerical tests. The results of computational experiments are presented and analyzed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0ed858e98b81c2352a9dc3baf175d0ef https://doi.org/10.1007/978-3-642-16358-6_9 Zobrazit plný text záznamu