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Using Elite Ant Mechanism to Optimize Ant Colony Genetic Algorithm to Improve the Working Efficiency of Multi-Robot
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Ant colony-genetic algorithm is a more mature multi-robot path planning algorithm, and this algorithm can be used to solve the optimal solution problem of path planning for multi-robot systems executing exploration on the surface of a planet. In this paper, we design a multi-robot system path planning scheme that introduces an elite ant mechanism to further optimize the optimal solution of multi-robot system path planning and improve the efficiency of the overall multi-robot system through the introduction of a mechanism that dynamically adjusts the path weights of the elite individuals. In this paper, the reliability and efficiency optimization of the multi-robot path planning using the elite ant mechanism to improve the ant colony-genetic algorithm is verified by simulating the handling task of a multi-robot system in a simulated Martian surface environment.
Title: Using Elite Ant Mechanism to Optimize Ant Colony Genetic Algorithm to Improve the Working Efficiency of Multi-Robot
Description:
Ant colony-genetic algorithm is a more mature multi-robot path planning algorithm, and this algorithm can be used to solve the optimal solution problem of path planning for multi-robot systems executing exploration on the surface of a planet.
In this paper, we design a multi-robot system path planning scheme that introduces an elite ant mechanism to further optimize the optimal solution of multi-robot system path planning and improve the efficiency of the overall multi-robot system through the introduction of a mechanism that dynamically adjusts the path weights of the elite individuals.
In this paper, the reliability and efficiency optimization of the multi-robot path planning using the elite ant mechanism to improve the ant colony-genetic algorithm is verified by simulating the handling task of a multi-robot system in a simulated Martian surface environment.
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