Fuzzy logic is widely known as a value-based technique. Whale optimization algorithm (WOA), on the other hand, is a nature-inspired optimization technique. Hybridization of these two techniques is proposed for path planning and control, over multiple mobile robots in static and dynamic environments. The effectiveness of the resulting technique, known as ‘Fuzzy-WOA’, is tested through MATLAB simulation coupled with real-time experiments. Upon testing, a good agreement is observed between these platforms. Furthermore, the proposed technique is found to be more efficient when compared to other existing techniques, with a significant improvement of about 20.63% in terms of path lengths.

模糊逻辑是众所周知的基于值的技术。另一方面，鲸鱼优化算法（WOA）是自然启发的优化技术。针对静态和动态环境中的多个移动机器人，提出了这两种技术的混合用于路径规划和控制。通过MATLAB仿真与实时实验相结合，测试了所得技术称为“ Fuzzy-WOA”的有效性。经过测试，在这些平台之间观察到良好的协议。此外，发现所提出的技术与其他现有技术相比更有效，就路径长度而言，显着提高了约20.63％。