论文标题
找到具有多目标进化算法的最佳脉冲重复间隔
Finding optimal Pulse Repetion Intervals with Many-objective Evolutionary Algorithms
论文作者
论文摘要
在本文中，我们考虑了查找脉冲重复间隔的问题，可以使脉冲多普勒雷达系统中的缓解范围和多普勒模棱两可的最佳折衷。我们重新审视了向进化计算社区提出的一个问题，作为测试多个目标优化算法的现实情况。我们将其用作基线，将黑框优化的几种进化算法与不同的指标进行比较。共同的数据汇总以构建帕累托最佳点的参考集，并且是雷达设计师进一步分析和操作使用的起点。
In this paper we consider the problem of finding Pulse Repetition Intervals allowing the best compromises mitigating range and Doppler ambiguities in a Pulsed-Doppler radar system. We revisit a problem that was proposed to the Evolutionary Computation community as a real-world case to test Many-objective Optimization algorithms. We use it as a baseline to compare several Evolutionary Algorithms for black-box optimization with different metrics. Resulting data is aggregated to build a reference set of Pareto optimal points and is the starting point for further analysis and operational use by the radar designer.
