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＜会議発表論文＞
Comparative Study on Fitness Landscape Approximation with Fourier Transform
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| 概要 | We propose to apply n dimensional discrete Fourier transform (DFT) to a fitness landscape, search an elite individual using obtained principal frequency component and accelerate evolutionary computati...on (EC) search. A comparative evaluation with our previous works is conducted using eight benchmark functions. The evaluation shows that our proposed approach can obtain the accurate fitness landscape than that with 1 dimensional DFT, and EC acceleration performance can be improved significantly. However, it needs more computational time in the process of conducting n dimensional DFT than that in 1 dimension. We also investigate the computational complexity of the two approaches and some related issues.続きを見る |
| 目次 | Ⅰ.INTRODUCTION Ⅱ.DISCRETE FOURIER TRANSFORM Ⅲ.APPROXIMATING FITNESS LANDSCAPE BY FOURIER TRANSFORM TO ACCELERATE EVOLUTIONARY SEARCH Ⅳ.EXPERIMENTAL EVALUATIONS Ⅴ.DISCUSSION Ⅵ.CONCLUSION AND FUTURE WORK |
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| 登録日 | 2017.06.08 |
| 更新日 | 2021.10.06 |