Fuzzy Multi-objective Optimization Based on Neural Networks

Based on the functional link network, a new algorithm is proposed to solve the multi-objective optimization problems in engineering structures. In the algorithm, the degress of designer’s satisfaction are regarded as a sample set, and neural network is used to replace the traditional membership functions. The membership functions can be well described with the new method. This method is more flexible than the traditional ones in solving multi-objective optimization problems.