关键词: 计算智能, 多目标优化, 人工神经网络

Abstract: Manufacturing process was hard to be controlled quantitatively due to its dynamic changes. Therefore, an integrated computation intelligence approach was proposed for complex multi-objective optimization manufacturing process. Artificial Neural Network (ANN) was used for system modeling, which searched fitness function and target function value for Genetic Algorithms (GAs). And GAs was applied in multi-objective optimization. This approach was validated through application in high speed wired electro-discharge machining process, the results demonstrated the effectiveness and feasibility of this method. It realized quantitative analysis for manufacturing process, and provided a new method for modeling and optimization of complicated manufacturing processes.

Key words: computational intelligence, multi-objective optimization, artificial neural network, genetic algorithms