Multi-robot charged system search-based optimal path planning in static environments

R. Precup, E. Petriu, L. Fedorovici, M. Radac, Florin Dragan
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引用次数: 7

Abstract

This paper proposes an optimal path planning approach based on Charged System Search (CSS) algorithms. The approach is applied to multiple mobile robots on holonomic wheeled platforms. Optimization problems (o.p.s) are defined for each robot to minimize the weighted sum of four objective functions whose minimization targets four path planning objectives. The CSS algorithms are mapped onto the o.p.s considering that the fitness functions are the objective functions, the search spare is the solution space, the agents (charged particles) are the mobile robots, and the population of agents is the set of mobile robots. Therefore, the optimal solutions to the o.p.s are the optimal paths. The new path planning approach is validated by experiments, and a comparison with other nature-inspired optimization-based path planning approaches is given.
静态环境下基于搜索的多机器人充电系统最优路径规划
提出了一种基于收费系统搜索(CSS)算法的最优路径规划方法。将该方法应用于基于完整轮式平台的多移动机器人。为每个机器人定义了优化问题,以最小化四个目标函数的加权和,其最小化目标为四个路径规划目标。考虑适应度函数为目标函数,搜索备用空间为解空间,智能体(带电粒子)为移动机器人,智能体总体为移动机器人集合,将CSS算法映射到ops上。因此,ops的最优解就是最优路径。通过实验验证了该路径规划方法的有效性,并与其他基于自然的优化路径规划方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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