- author = "Miran Brezocnik and Miha Kovacic and Mirko Ficko",
- title = "Intelligent systems for next-generation manufacturing",
- journal = "Academic Journal of Manufacturing Engineering",
- year = "2004",
- volume = "2",
- number = "1",
- pages = "34--37",
- keywords = "genetic algorithms, genetic programming",
- ISSN = "1583-7904",
-
URL = "
http://www.worldcat.org/title/intelligent-systems-for-next-generation-manufacturing/oclc/440013859",
- abstract = "In this paper we propose a fundamental shift from the present manufacturing paradigm favouring particularly determinism, rationalism, and top-down organizational principles towards intelligent systems in next-generation manufacturing involving phenomena such as non-determinism, emergence, learning, complexity, self-organization, and bottom-up organization. The problem types and different intelligent systems for solving of problems were studied. Two examples of the intelligent systems from the areas of metal forming industry and autonomous intelligent vehicles are given. Both systems are based on learning and imitate some excellent properties of the living systems. Genetic programming and genetic algorithms were used. The stable global order (i.e., solution) of each presented system gradually emerges as a result of interactions between entities of which the system consists and the environment",
-
notes = "http://reviste.ulbsibiu.ro/ajme/
http://eng.upt.ro/auif/journal_vol_2_2004_no_1.html#8 Feb 2014 journal_vol_2_2004_no_1.html gives a number of alternative titles...
",
