SOM-based Optimization

Mu Chun Su, Yu Xiang Zhao, Jonathan Lee

研究成果: 雜誌貢獻會議論文同行評審

33 引文 斯高帕斯(Scopus)


In this paper, a new approach to optimization problems based on the self-organizing feature maps is proposed. We name the new optimization algorithm the SOM-based optimization (SOMO) algorithm. Through the self-organizing process, good solutions to an optimization problem can be simultaneously explored and exploited. An additional advantage of the algorithm is that the outputs of the neural network allow us to transform a multi-dimensional fitness landscape into a three-dimensional projected fitness landscape. Several simulations are used to illustrate the effectiveness of the proposed optimization algorithm.

頁(從 - 到)781-786
期刊IEEE International Conference on Neural Networks - Conference Proceedings
出版狀態已出版 - 2004
事件2004 IEEE International Joint Conference on Neural Networks - Proceedings - Budapest, Hungary
持續時間: 25 7月 200429 7月 2004


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