Power-law fitness function scaling in the evolutionary method of path planning

P. Kolendo, B. Jaworski, R. Smierzchalski
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Abstract

The main goal of the present paper is to discuss the application of the power-law fitness function scaling in the evolutionary method of path planning and its impact on the quality of final solution and the computation time necessary to solve the problem with the described scaling applied. In this paper we use the navigation problem of avoiding collision at sea for testing ground. A wide range of marine collision situations was provided to reveal advantages of power-law scaling application. The performed investigations have shown that the use of power-law scaling in the evolutionary path planning method preserves the diversity of solutions by a larger number of generations in the exploration phase. Results were also compared with a previous research that was performed using linear scaling.
进化路径规划方法中的幂律适应度函数缩放
本文的主要目的是讨论幂律适应度函数缩放在路径规划进化方法中的应用,以及它对最终解质量的影响,以及应用所述缩放解决问题所需的计算时间。本文采用海上避碰导航问题作为试验场。提供了广泛的海上碰撞情况,以揭示幂律缩放应用的优势。研究表明,在进化路径规划方法中使用幂律尺度,在探索阶段保留了更多代的解的多样性。结果还与先前使用线性缩放进行的研究进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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