差分进化算法研究进展

作为一种简单而有效的新兴计算技术，差分进化算法（DE）已受到学术界和工程界的广泛关注．并取得了许多成功应用．为此，围绕差分进化算法的原理、特点、改进及其应用等方面进行全面综述．重点介绍了针对复杂环境的差分进化算法研究内容，包括多目标、约束、离散和噪声环境下的优化等．最后提出了有待进一步研究的若干方向．

Advances in differential evolution

As a novel evolutionary computing technique, differential evolution (DE) is simple and effective,which is paid wide attention and research in both academic and industry fields and achieves many successful applications.A complete survey on DE is presented in aspect of mechanism, feature, improvements and applications. The studies on DE aiming at complex environment are especially introduced including multi-objective, constrained, discrete and noisy optimization. Finally, the future research direction and contents are pointed out.