• Title/Summary/Keyword: caseadaptation algorithms

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Development of Case-adaptation Algorithm using Genetic Algorithm and Artificial Neural Networks

  • Han, Sang-Min;Yang, Young-Soon
    • Journal of Ship and Ocean Technology
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    • v.5 no.3
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    • pp.27-35
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    • 2001
  • In this research, hybrid method with case-based reasoning and rule-based reasoning is applied. Using case-based reasoning, design experts'experience and know-how are effectively represented in order to obtain a proper configuration of midship section in the initial ship design stage. Since there is not sufficient domain knowledge available to us, traditional case-adaptation algorithms cannot be applied to our problem, i.e., creating the configuration of midship section. Thus, new case-adaptation algorithms not requiring any domain knowledge are developed antral applied to our problem. Using the knowledge representation of DnV rules, rule-based reasoning can perform deductive inference in order to obtain the scantling of midship section efficiently. The results from the case-based reasoning and the rule-based reasoning are examined by comparing the results with various conventional methods. And the reasonability of our results is verified by comparing the results wish actual values from parent ship.

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