Artificial Immune System Approaches to Robot Path Planning of Structured Environments and Clustering Competition Problems
博士 === 國立中正大學 === 電機工程研究所 === 93 === This dissertation is divided into two-field. In the first part, an efficient artificial immune system to solve clustering problems is proposed. This proposed method groups similarity data items by means of the immune network theory. Instead of assigning the numbe...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2005
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| Online Access: | http://ndltd.ncl.edu.tw/handle/41403417355160769843 |