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This paper proposes a novel immune algorithm by integrating local search with multi-swarm immune optimization algorithm to solve the problem of cost optimization in water distribution systems. The objective of this study is to maximize the crop yields by coordinating the distribution of water amongst different kinds of crops, especially for the case of deficit irrigation. In order to prevent premature...
In this paper, the latent variable model is adopted to re-describe MI-SVM and its feature mapping variants. MI-SVM with latent variable description and the corresponding stochastic optimization learning algorithm are proposed. In the Musk and Corel datasets, the proposed algorithm achieves higher predicting accuracy and faster learning speed, with strong stability and robustness for parameters and...
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