A Novel Energy Aware Node Clustering Algorithm for Wireless Sensor Networks Using a Modified Artificial Fish Swarm Algorithm

Azizi, Reza; Sedghi, H.; Shoja, Hamid; Sepas-Moghaddam, Alireza

doi:10.5121/ijcnc.2015.7307

Cited by 7 publications

(2 citation statements)

References 20 publications

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“…In this paper, the minimum time cost is chosen as the optimization goal of the batch picking path planning model of multi warehouse logistics robot. The time spent for picking a single robot is mainly composed of the time of robot picking up the goods (PT), the time of robot moving (RT) and the waiting time (WT) of the robot [13]. On the basis of single robot batch picking mathematical model, we can get the mathematical model of multiple warehouse logistics robot batch picking path planning based on the appropriate modification and the model is shown in the following formula.…”

Section: Batch Picking Path Planning For Multi Warehouse Logistics Robotmentioning

confidence: 99%

Path Planning for Batch Picking of Warehousing and Logistics Robots Based on Modified A* Algorithm

Li-mei

2018

Int. J. Onl. Eng.

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<p class="0abstract"><span lang="EN-US">To make the picking path planning of warehousing and logistics robot in warehouse more efficient and real-time, a path planning for batch picking of warehousing and logistics robots based on the modified A* algorithm was put forward. First of all, the path planning of the single robot batch picking was realized. Then, the time cost was introduced to further improve the A* algorithm to realize the batch picking path planning of the multi-warehouse logistics robots. Finally, according to the algorithm proposed, .Net visual programming technology was applied to build a complete warehouse logistics robot picking path planning simulation system to verify the effectiveness of the algorithm proposed. The research results showed that the algorithm proposed could meet the needs of efficient and real-time path planning in the process of completing batch picking tasks. To sum up, it lays a solid foundation for the realization of intelligent and fully automated warehouse management.</span></p>

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Section: Batch Picking Path Planning For Multi Warehouse Logistics Robotmentioning

confidence: 99%

Path Planning for Batch Picking of Warehousing and Logistics Robots Based on Modified A* Algorithm

Li-mei

2018

Int. J. Onl. Eng.

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“…The bionic algorithms can be inspired from the behavior of flower pollinating [4], hunting for preys [5], flashing for companies [6], or reproduction for the next generations [7]. The values of their controlling parameters have been proved to be important when they are applied in optimization [8][9][10]. However, the ways the individuals act and the rules they obey in nature are more important and thus a lot of improvements are obtained.…”

Section: Introductionmentioning

confidence: 99%

Research on the improved bat algorithms

TAO,

Gao

2023

5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023)

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The bat algorithm (BA) was a kind of meta-heuristic algorithm that was simple and efficient in optimization, it had been widely applied in various fields. To improve the capability of the original BA, two methods used frequently in improvements were proposed in this paper: the gradient and sub-gradient methods, together with the Levy flights. Simulation experiments were carried out on the representatives of unimodal and multimodal benchmark functions. Results confirmed that not all traditional improvements were effective, some of the improved BA even work worse than the original one. However, the Levy flights could be considered a better replacement of randomness in applications.

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