Abstract
In this chapter, based on different biological mechanisms, some bi-directional optimization methods are proposed. Firstly, a bi-directional optimization method based on an immune-enhanced neural network is introduced. Then, a hybrid approach of genetic algorithm (GA) and improved particle swarm optimization (IPSO) is proposed to construct the radial basis function neural network (RNN). Next, a bi-directional prediction approach based on neural networks and multi-objective evolutionary algorithm is developed. At last, a bi-directional prediction model based on a support vector machine (SVM) and improved particle swarm optimization algorithm (SVM-IPSO) is created.
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