산업경영시스템학회지 (Journal of Korean Society of Industrial and Systems Engineering)
- 제22권49호
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- Pages.115-123
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- 1999
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- 2005-0461(pISSN)
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- 2287-7975(eISSN)
유전알고리즘을 이용한 최적생산설계
Optimal Production Design Using Genetic Algorithms
초록
An optimization problem is to select the best of many possible design alternatives in a complex design space. Genetic algorithms, one of the numerous techniques to search optimal solution, have been successfully applied to various problems (for example, parameter tuning in expert systems, structural systems with a mix of continuous, integer and discrete design variables) that could not have been readily solved with more conventional computational technique. But, conventional genetic algorithms are ill defined for two classes of problems, ie., penalty function and fitness scaling. Therefore, this paper develops Improved genetic algorithms(IGA) to solve these problems. As a case study, numerical examples are demonstrated to show the effectiveness of the Improved genetic algorithms.
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