关键词: 算法, 函数优化, 微分进化, 约束处理

Abstract: An approach，CDE，is presented to handle constrained function optimization problems using differential evolutionary algorithms.The approach can maintain population diversity and simple parameter setting which makes the CDE more likely to find the global optimum in evolutionary process.It enables us to find the optimal solution within a fairly short period of time.The preferable results can be gotten in some benchmark function’s numerical simulations.The results show that the approach is an effective，general and robust method.

Key words: algorithm, function optimization, differential evolution, constraint handling