【源码】基于二进制遗传算法的波能转换器位置优化

海洋波浪能等可再生能源在应对全球能源需求的巨大增长方面发挥着举足轻重的作用。

Renewable energy, such as ocean wave energy, plays a pivotal role in addressing the tremendous growth of global energy demand.

波浪能有望成为未来十年发展最快的能源之一，为可持续发展提供巨大的潜在能源。

It is expected that wave energy will be one of the fastest-growing energy resources in the next decade, offering an enormous potential source of sustainable energy.

研究了振荡浮标式波能转换器（WEC）的布局优化问题。

This research investigates the placement optimization of oscillating buoy-type wave energy converters (WEC).

对一个由三个全淹没系绳浮标组成的波场设计进行了评估。

The design of a wave farm consisting of an array of fully submerged three-tether buoys is evaluated.

在波场中，浮标位置对波场的输出有显著影响。

In a wave farm, buoy positions have a notable impact on the farm’s output.

浮标位置优化是一个具有挑战性的研究问题，因为浮标之间的相互作用非常复杂（兼具建设性和破坏性）。

Optimizing the buoy positions is a challenging research problem because of very complex interactions (constructive and destructive) between buoys.

这项研究的主要目的是通过在大小受限的环境中放置浮标来最大限度地提高波场的输出功率。

The main purpose of this research is maximizing the power output of the farm through the placement of buoys in a size-constrained environment.

本文提出了一种用于WECs位置优化的二进制遗传算法。

This code proposes a binary Genetic Algorithm [1] for position optimization of WECs.

致谢：

fitness函数由Nataliia Sergiienko博士编程和修改（2018年6月1日）。

Acknowledgement:

The fitness function is programmed and modified by Dr. Nataliia Sergiienko (01/06/2018)

https://www.adelaide.edu.au/directory/nataliia.sergiienko

参考文献：

The applied binary Genetic Algorithm is implemented based on the below paper

[1] Sharp, C., & DuPont, B. (2018). Wave energy converter array optimization: A genetic algorithm approach and minimum separation distance study. Ocean Engineering, 163, 148-156.

All optimization results are reported by the below paper :

Neshat, M., Alexander, B., Sergiienko, N., & Wagner, M. (2019). A new insight into the Position Optimization of Wave Energy Converters by a Hybrid Local Search. arXiv preprint arXiv:1904.09599.

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