Simple evolutionary heuristics for global optimization
本文实证比较了五种进化算法在六个测试函数上的性能，以平均目标函数评估次数及其变异性为比较标准。
The paper deals with the empirical comparison of five evolutionary algorithms. One of them is closely related to the controlled random search, another two are based on evolutionary search and remaining two on differential evolution. The testbed consists of six functions widely used for testing of optimization algorithms. The average number of objective function evaluations and its variability are used as basic criteria for the comparison.