差分进化算法研究进展

Advances in differential evolution

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.

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.