ON 2D P COLONIES AND GREY WOLF ALGORITHM

The coverage optimization problem of wireless sensor network has become one of the hot topics in the current field. Through the research on the problem of coverage optimization, the coverage of the network can be improved, the distribution redundancy of the sensor nodes can be reduced, the energy consumption can be reduced, and the network life cycle can be prolonged, thereby ensuring the stability of the entire network. In this paper, a novel grey wolf algorithm optimized by simulated annealing is proposed according to the problem that the sensor nodes have high aggregation degree and low coverage rate when they are deployed randomly. Firstly, the mathematical model of the coverage optimization of wireless sensor networks is established. Secondly, in the process of grey wolf optimization algorithm, the simulated annealing algorithm is embedded into the grey wolf after the siege behavior ends and before the grey wolf is updated to enhance the global optimization ability of the grey wolf algorithm and at the same time improve the convergence rate of the grey wolf algorithm. Simulation experiments show that the improved grey wolf algorithm optimized by simulated annealing is applied to the coverage optimization of wireless sensor networks. It has better effect than particle swarm optimization algorithm and standard grey wolf optimization algorithm, has faster optimization speed, improves the coverage of the network, reduces the energy consumption of the nodes, and prolongs the network life cycle.

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An improved grey wolf algorithm for global optimization

2018 Chinese Control And Decision Conference (CCDC) ◽

10.1109/ccdc.2018.8407544 ◽

2018 ◽

Cited By ~ 3

Author(s):

Wendong Gai ◽

Chengzhi Qu ◽

Jie Liu ◽

Jing Zhang

Keyword(s):

Global Optimization ◽

Grey Wolf ◽

Grey Wolf Algorithm

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Optimal Operation of Reservoir Power Generation Based on Improved Grey Wolf Algorithm

Advances in Intelligent Systems and Computing - Advanced Machine Learning Technologies and Applications ◽

10.1007/978-3-030-69717-4_92 ◽

2021 ◽

pp. 987-996

Author(s):

Ran-Fan Chen ◽

Kuo-Chi Chang ◽

Kai-Chun Chu ◽

Fu-Hsiang Chang ◽

Hsiao-Chuan Wang ◽

...

Keyword(s):

Power Generation ◽

Optimal Operation ◽

Grey Wolf ◽

Grey Wolf Algorithm

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Application of the Grey Wolf Algorithm for Optimization of PM Synchronous Motor

2019 19th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF) ◽

10.1109/isef45929.2019.9097055 ◽

2019 ◽

Author(s):

Lukasz Knypinski ◽

Lech Nowak

Keyword(s):

Synchronous Motor ◽

Grey Wolf ◽

Pm Synchronous Motor ◽

Grey Wolf Algorithm

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Modified grey wolf method for optimization of PM motors

ITM Web of Conferences ◽

10.1051/itmconf/20192801020 ◽

2019 ◽

Vol 28 ◽

pp. 01020

Author(s):

Łukasz Knypiński

Keyword(s):

Mathematical Model ◽

Permanent Magnet ◽

Permanent Magnet Synchronous Motor ◽

Computer Software ◽

Optimization Procedure ◽

Optimization Method ◽

Grey Wolf ◽

Electromagnetic Devices ◽

The Mathematical Model ◽

Grey Wolf Algorithm

The paper presents an algorithm and computer software for the optimization of electromagnetic devices. The mathematical model of the optimization method was presented. The modification of the classical grey wolf algorithm was developed. The modification consists in decreasing the coefficient responsible for the possibility of migration individuals in the permissible area of solved task. The optimization procedure was elaborated in the Borland Delphi environment. The optimization of the rotor of the line-start permanent magnet synchronous motor has been carried out. It has been pointed out that the grey wolf algorithm is effective method for optimization of electromagnetic devices.

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