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데이터마이닝 방법을 응용한 휴리스틱 알고리즘 개발

Development of Heuristic Algorithm Using Data-mining Method

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참고문헌

주제분류산업공학

초록

Abstract

This paper presents a data-mining aided heuristic algorithm development. The developed algorithm includes three steps. The steps are a uniform selection, development of feature functions and clustering, and a decision tree making. The developed algorithm is employed in designing an optimal multi-station fixture layout. The objective is to minimize the sensitivity function subject to geometric constraints. Its benefit is presented by a comparison with currently available optimization methods.

참고문헌 (10)

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  2. "Uniform design:theory and application", 42, pp.237~248 (2000)
  3. "The element of statistical learning" (2001), Springer-Verlag
  4. "Bayesian classification trees and clustering for rapid generation and selection of design alternatives" (2003)
  5. "State Space Modeling of Sheet Metal Assembly for Dimensional Control", 121, pp.756~762 (1999)
  6. "Optimal design of fixture layout in multi-station assembly process", 1(2), pp.~145 (2004)
  7. "A comparison of three methods for selecting values of input variables in the analysis of output from a computer code", tech(metrics), pp.~245 (1979)
  8. "A simplex method for function minimization", pp.~313 (1965)
  9. "Design & Analysis of Computer Experiments" (2003), Springer Verlag
  10. "Learning to set up numerical optimizations of engineering designs", pp.87~125 (2001), Kluwer Academic Publishers

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