Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/58028
Title: Conceptual Design of Fixtures using Genetic Algorithms
Authors: Senthil Kumar, A. 
Subramaniam, V. 
Seow, K.C.
Keywords: Conceptual designs
Fixture design
Genetic algorithms
Neural networks
Issue Date: 1999
Source: Senthil Kumar, A.,Subramaniam, V.,Seow, K.C. (1999). Conceptual Design of Fixtures using Genetic Algorithms. International Journal of Advanced Manufacturing Technology 15 (2) : 79-84. ScholarBank@NUS Repository.
Abstract: Fixture design is a complex and intuitive process, which demands rich experience from the designer. Multiple acceptable designs are possible for a given workpiece and hence the solution space is large. Recent advances in CAD/CAM, especially in artificial intelligence, have alleviated this problem by intelligently restricting the search space considered, thus opening the possibility of obtaining better designs. Researchers have used various techniques under the general rubric of artificial intelligence to solve the fixture design problem. The most common of these have been case-based reasoning and expert systems. However, these two common methods do not ensure that the resulting solution is efficient or optimal. In this paper we propose to combine complementarily the strengths of genetic algorithms and neural networks to develop a fixture design system. Results obtained using this combined multi-agent approach for the design of fixtures are promising.
Source Title: International Journal of Advanced Manufacturing Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/58028
ISSN: 02683768
Appears in Collections:Staff Publications

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