Performance analysis of swimming microrobot using GA, ABC and PSO based-optimization techniques

Further progress in the development, innovation and optimization of microrobot-based applications leads to the requirement of new modeling tools and hypothesis, for enhancing the performance and the computational time of microrobots simulators. In this context, the aim of this work is to compare the accuracy and computational efficiency of ABC, GA and PSO evolutionary techniques for optimizing and improving the performance of the microrobot devices. Besides, our obtained results for all techniques (PSO, GA and ABC) are presented and compared using our optimization techniques, in order to demonstrate the accuracy of each technique. In this context, a good improvement of the electromechanical performance has been founded for all optimization-based techniques.