Multirobot task allocation based on an improved particle swarm ...

automatic clustering-based algorithm for multi-robot task allocation ...

... multi-robot task allocation using dynamic distributed double-guided particle swarm optimization ... improve the generation of the initial swarm of particles. The ...

Research on task allocation of UAV cluster based on particle swarm ...

The coordination and cooperation between UAVs greatly improves the coverage and the execution ability of complex tasks, which is an important ...

A New Method for Improving the Fairness of Multi-Robot Task ...

Xu, "Multi-robot Task Allocation Strategy based on Particle Swarm Optimization and Greedy Algorithm," 2019 IEEE 8th Joint International Information ...

Multiple UAV Task Allocation Using Particle Swarm Optimization

Monte-Carlo Simulations are carried out to study the effect of increase in number of agents and targets. I. Introduction. Unmanned aerial ...

Task allocation in multi-robot system using resource sharing with ...

... Multiple UAV task allocation using particle swarm optimization,” AIAA Guid. ... 06, 2021). 38. Lee D. H., “Resource-based task allocation for ...

Path Planning for Mount Robot Based on Improved Particle Swarm ...

Qin, Task allocation of multi-robot based on improved ant colony algorithm, Aerosp. Control Appl., № 44, с. 55; Wang, The hybrid genetic algorithm with two ...

ACD3GPSO: automatic clustering-based algorithm for multi-robot ta...

ACD3GPSO: automatic clustering-based algorithm for multi-robot task allocation using dynamic distributed double-guided particle swarm ...

A grouping method based on improved PSO for task allocation in ...

Finally, an improved particle swarm algorithm with the adaptive inertia weight and velocity update is developed to solve the grouping-based task allocation. The ...

Multi-Robot Task Allocation Based on Swarm Intelligence

At the low level, each ant forms a task-oriented robot coalition to perform a tightly-coupled task. Ant colony optimization. (ACO), the particle ...

Task Allocation and Path Planning of a Multi-Robot System Using ...

A heuristic integrated multiobjective particle swarm optimization algorithm (HPSO) is developed for allocating tasks to each robot and planning of path.

Particle Swarm Optimization - (Underwater Robotics) - Fiveable

Particle Swarm Optimization helps improve task allocation in multi-robot ... PSO, multiple underwater robots can collaboratively allocate tasks based on ...

Multi-task allocation with an optimized quantum particle swarm method

Based on this perspective, Faezeh [8] proposed an efficient task assignment approach that not only improved the allocation success rate via ...

Coalition Formation in Multi-agent Systems Based on Improved ...

In order to overcome the premature and local optimization problem in traditional particle swarm optimization. (PSO), we proposed a variation of inertia weight ...

Research on Model and Algorithm of Task Allocation and Path ...

and Wu, B. (2013) Assignment of Multi Robot Tasks Based on Improved Ant Colony Algorithm. Modular Machine Tools and Automatic Machining Technology, 2, 34-37 ...

Optimization techniques for Multi-Robot Task Allocation problems

Xu, Multi-robot Task Allocation. Strategy based on Particle Swarm Optimization and Greedy Algorithm, in: 2019 IEEE 8th Joint International ...

Multirobot Adaptive Task Allocation of Intelligent Warehouse Based ...

[17] designed an improved quantum evolutionary algorithm based on the niche coevolution strategy and enhanced particle swarm optimization ( ...

Market Approaches to the Multi-Robot Task Allocation Problem

Market-based methods have received significant attention for solving the multi-robot task allocation problem. They have been used in a variety of multi-robot ...

ALTERNATIVE METHODS FOR MULTI-ROBOT TASK ALLOCATION

... Based on Improved Genetic Algorithm. Journal ... Parallel Test Task Scheduling with Constraints Based on Hybrid Particle Swarm Optimization and Taboo Search.

Particle Swarm Optimization for Cooperative Multi-Robot Task ...

Multi-Objective Optimization (MOO) techniques are pop- ular for solving the task allocation problems. The work [21] presents an auction-based approach, in which ...

Path planning with obstacle avoidance for soft robots based on ...

Finally, by combining the improved particle swarm algorithm to optimize the paths, the convergence speed and reconciliation accuracy of the ...