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| STUDY ON IMPROVING RELIABILITY OF FULLY-MECHANIZED COAL WINNING FACE USING GENETIC ALGORITHMS TO OPTIMIZE RESOURCE ALLOCATION |
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Received:May 09, 2006
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| DOI： |
| KeyWord:Genetic Algorithms; knapsack problem; fully-mechanized coal winning face; reliability |
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| Department of Resources Exploration and Management Engineering, Anhui University of Science and Technology, Huainan 232001, Anhui , China |
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| Abstract: |
| Genetic Algorithms(GA) is better than traditional methods in solving the nonlinear and discontinuous functions because it has the principle of "excellent one wins,inferior one discards".Based on Genetic Algorithms,the model, which improves the reliability of fully-mechanized coal winning(FMCW) face,has been setup to allot the limit resource perfectly after analyzing the characteristics of the knapsack problem and mixed GA.The results prove that the model is simple,convenient and reliable.It has positive effect on high yield and high efficiency of FMCW face. |
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