Solving cell-formation problems under alternative quality criteria and constraints with a genetic programming-based hierarchical clustering algorithm

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@InProceedings{chrnei00,

• author = "Christos Dimopoulos and Neil Mort",
• title = "Solving cell-formation problems under alternative quality criteria and constraints with a genetic programming-based hierarchical clustering algorithm",
• booktitle = "Proceedings of the Sixth International Conference on Control, Automation, Robotics and Vision",
• year = "2000",
• pages = "3445--3446",
• address = "Singapore",
• month = "5-8 " # dec,
• keywords = "genetic algorithms, genetic programming, cell formation",
• abstract = "Cellular manufacturing is a modern approach to the implementation of efficient manufacturing systems. The solution of the cell formation problem is an essential step for the design of a cellular manufacturing system. In this paper we present a novel Genetic Programming-based methodology for the solution of the cell-formation problem. The proposed methodology is tested on a cell formation problem taken from the literature under alternative quality criteria and size constraints",
• notes = "broken Sep 2018 http://www3.ntu.edu.sg/eee/eee4/eventconference.asp ICARCV 2000 Sixth International Conference on Control, Automation, Robotics and Vision 5 - 8 December 2000 Marina Mandarin Hotel, Singapore General Chairman: Professor Sundararajan, N Technical Chairman: Associate Professor Wang, Jianliang Advisor: Associate Professor Soh Yeng Chai Proceedings : CD-ROM",

}

Genetic Programming entries for Christos Dimopoulos Neil Mort

Citations