论文标题
电力和能源系统的元启发式优化：“急救启发法”的基本原则和主要问题
Metaheuristic optimization of power and energy systems: underlying principles and main issues of the 'rush to heuristics'
论文作者
论文摘要
在电力和能源系统领域，正在逐步增加包含元启发式算法应用的文献贡献。在许多情况下，这些应用仅旨在提出在特定问题上对现有的元启发式算法的测试，声称该方法比基于弱比较的其他方法更好。这种“奔赴启发式方法”并不是在进化计算域中发生的，在进化计算域中，建立严格比较的规则更加严格，但典型的是元启发式化范围的域。本文考虑了对电力和能源系统的应用程序，并旨在提供有关将元硫疗法用于全球优化问题的主要问题的全面看法。介绍了一组特征元启发式算法的基本原则。讨论了元启发式算法的定制以适合特定问题的约束。在文献贡献中发现了一些弱点和陷阱，并提供了有关如何在将元神经算法应用于特定问题上的应用方面贡献的特定准则。
In the power and energy systems area, a progressive increase of literature contributions containing applications of metaheuristic algorithms is occurring. In many cases, these applications are merely aimed at proposing the testing of an existing metaheuristic algorithm on a specific problem, claiming that the proposed method is better than other methods based on weak comparisons. This 'rush to heuristics' does not happen in the evolutionary computation domain, where the rules for setting up rigorous comparisons are stricter, but are typical of the domains of application of the metaheuristics. This paper considers the applications to power and energy systems, and aims at providing a comprehensive view of the main issues concerning the use of metaheuristics for global optimization problems. A set of underlying principles that characterize the metaheuristic algorithms is presented. The customization of metaheuristic algorithms to fit the constraints of specific problems is discussed. Some weaknesses and pitfalls found in literature contributions are identified, and specific guidelines are provided on how to prepare sound contributions on the application of metaheuristic algorithms to specific problems.
