The Wolf pack assignment rule based on ant colony algorithm and the path planning of scout ants in complex raster diagra

Zhu, Yu; Zhu, Liucun; Ye, Long; Luo, Jun

doi:10.1088/1742-6596/1732/1/012084

Cited by 4 publications

(4 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the increase in the number of iterations, the pheromone of each path can be accumulated or returned to 0. We use the strategy of wolf allocation ( Zhu, Zhu & Long, 2021 ; Wang & Zhang, 2022 ; He, Tao & Luo, 2022 ) to perform assignment by the updating mechanism of “survival of the strong”. In the iteration process, we refer to the “reward on merit” distribution strategy in the wolves algorithm to reward the good path and punish the poor path in each iteration.…”

Section: An Improved Ant Colony Algorithm For Multi-media Communicati...mentioning

confidence: 99%

Sustainable development of multi-media communication path of broadcasting and hosting with a dynamic environment

Hu¹

2023

PeerJ Computer Science

View full text Add to dashboard Cite

To enrich people’s lifestyles at home, the research on the transmission path of new media broadcasting and hosting programs has become a hot topic. The traditional statistical regression model has low prediction accuracy and weak generalization ability on such issues. Therefore, we propose an improved comprehensive path planning algorithm based on an ant colony algorithm to search for the optimal path of the multi-media transmission for broadcasting and hosting programs in a dynamic environment. Firstly, we improve the bidirectional search strategy, optimize the probability transition and extend the early search scope. Then, we utilize the allocation strategy of the wolf to change the updating rules of the pheromone. Finally, we take the shortest process time for listeners to obtain the broadcast program as the optimization goal and construct a comprehensive evaluation model. We also solve the optimal parameters to improve the overall performance of our method for finding out the excellent path of multi-media transmission in a dynamic environment. Experiment results show that our method can achieve the optimal route plans and we can demonstrate that the path planned by the improved ant colony algorithm is more reasonable, which can effectively avoid the optimum local problem and shorten the solution.

show abstract

Section: An Improved Ant Colony Algorithm For Multi-media Communicati...mentioning

confidence: 99%

Sustainable development of multi-media communication path of broadcasting and hosting with a dynamic environment

Hu¹

2023

PeerJ Computer Science

View full text Add to dashboard Cite

show abstract

“…The raster method [30] is simple and easy to implement. It can describe the environment in the form of a grid.…”

Section: Mathematical Model Of the Reconfiguration Platformmentioning

confidence: 99%

“…The various parts of the platform are closely connected and work together to accomplish the task of reconstructing the platform through information communication and collaborative drive. The raster method [30] is simple and easy to implement. It can describe the environment in the form of a grid.…”

Section: Reconfiguration Platform Introductionmentioning

confidence: 99%

Modular Robotic Design and Reconfiguring Path Planning

et al. 2022

View full text Add to dashboard Cite

The modular robot is becoming a prevalent research object in robots because of its unique configuration advantages and performance characteristics. It is possible to form robot configurations with different functions by reconfiguring functional modules. This paper focuses on studying the modular robot’s configuration design and self-reconfiguration process and hopes to realize the industrial application of the modular self-reconfiguration robot to a certain extent. We design robotic configurations with different DOF based on the cellular module of the hexahedron and perform the kinematic analysis of the structure. An innovative design of a modular reconfiguration platform for conformational reorganization is presented, and the collaborative path planning between different modules in the reconfiguration platform is investigated. We propose an optimized ant colony algorithm for reconfiguration path planning and verify the superiority and rationality of this algorithm compared with the traditional ant colony algorithm for platform path planning through simulation experiments.

show abstract

“…Alpha wolves are always the strongest wolves in the pack and are responsible for directing the pack to capture prey without participating in the roaming, running, or siege process; Beta wolf is an elite unit of wolves, responsible for searching for prey; and Omega wolf is the attack force of wolves and is responsible for quickly closing in on the Alpha Wolf's direction when the Alpha Wolf initiates an attack command, in order to capture prey. Zhu et al [24] proposed a Wolf Pack algorithm based on ant colony optimisation for solving the TSP problem. An ant colony algorithm was used to initialise the population in order to implement a heuristic crossover operator, while adaptive adjustment of the crossover probability and variation probability was employed.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Wolf Pack Algorithm and Its Application to Logistics Distribution Problems

Wei

2022

Scientific Programming

View full text Add to dashboard Cite

In logistics distribution systems, the constrained optimisation of the cargo dispensing problem has been the focus of research in related fields. At present, many scholars try to solve the problem by introducing swarm intelligence algorithms, including genetic algorithm, particle swarm algorithm, bee swarm algorithm, fish swarm algorithm, etc. Each swarm intelligence algorithm has different characteristics, but they all have certain advantages for the optimisation of complex problems. In recent years, the Wolf Pack algorithm, an emerging swarm intelligence algorithm, has shown good global convergence and computational robustness in solving complex high-dimensional functions. Therefore, this article chooses to use the Wolf Pack algorithm to solve a multi-vehicle and multi-goods dispensing problem model. First, the principle and process of the Wolf Pack algorithm are introduced, and two improvements are proposed for the way of location update and the way of step update. Then, a mathematical model of the multi-vehicle and multi-goods dispensing problem is developed. Next, the mathematical model is solved using the proposed improved Wolf Pack algorithm. The experimental results show that the proposed improved Wolf Pack algorithm effectively solves the cargo dispatching problem. In addition, the proposed improved Wolf Pack algorithm can effectively reduce the number of vehicles to be dispatched compared with other swarm intelligence algorithms.

show abstract

The Wolf pack assignment rule based on ant colony algorithm and the path planning of scout ants in complex raster diagra

Cited by 4 publications

References 2 publications

Sustainable development of multi-media communication path of broadcasting and hosting with a dynamic environment

Sustainable development of multi-media communication path of broadcasting and hosting with a dynamic environment

Modular Robotic Design and Reconfiguring Path Planning

Improvement of Wolf Pack Algorithm and Its Application to Logistics Distribution Problems

Contact Info

Product

Resources

About