An optimization method of efficiency /economy trade-off of complex equipments based on PSO-SVM

The efficiency and economy trade-off of complex equipments is a complicated problem due to its nonlinearity and complexity. How to choose the effective and key method to find the optimal solution is a very important topic. This paper proposes a new method by combining the Particle Swarm Optimization (PSO) and the Support Vector Machines (SVM). The method, on one hand, uses SVM to seek the best balance between efficiency and economy; on the other hand, the penalty factor and kernel function parameter of SVM are optimized by PSO. A example is taken to demonstrate correctness and effectiveness of the proposed approach. The result shows that the method possesses convenience, objectivity and can get the high accuracy of optimal solution.