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总结了进化算法理论研究中具有重要应用前景的若干实用技术 ,其中包括编码技术、自调整技术、约束限制处理技术和多目标优化技术。文中总结了这 4类技术的最新进展 ,希望能为从事进化算法应用研究的电力工作者开拓一些新思路 ,为设计和开发具有更高性能、适用于电力系统运行与控制的进化算法提供参考。
Several practical techniques with important application prospects in the theoretical research of evolutionary algorithms are summarized, including coding techniques, self-tuning techniques, constraint-limiting processing techniques and multi-objective optimization techniques. The paper summarizes the latest progress of these four kinds of technologies and hopes to open up some new ideas for power workers engaged in the application of evolutionary algorithms and provide reference for the design and development of evolutionary algorithms with higher performance and suitable for operation and control of power systems.