一种改进的人工鱼群算法及其应用

2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS) Pub Date : 2018-06-01 DOI:10.1109/ICIS.2018.8466458

Sili Gao, Yujun Wen

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引用次数: 13

摘要

为了更好地模拟海底环境，本文提出了一种改进的人工鱼群算法。该算法利用unity3d从寻找食物、躲避障碍物、保持良好队形、各种行为四个方面模拟鱼群的行为。实验结果表明，改进后的算法在unity平台上的仿真效果优于传统的鱼群算法。

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An Improved Artificial Fish Swarm Algorithm and its Application

In order to improve the simulation of the undersea conditions, an improved artificial fish swarm algorithm is proposed in this paper. This algorithm uses unity3d to simulate the behavior of fish swarm in four aspects, seek food, avoid obstacles, keep good formation, and various behaviors. The experiment results show that the improved simulation effect is better than the traditional fish swarm algorithm on unity platform.

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2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)

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