scholarly journals Optimization of Wireless Sensor Networks Based on Differential Evolution Algorithm

2019 ◽  
Vol 15 (01) ◽  
pp. 183 ◽  
Author(s):  
Qing Wan ◽  
Ming-Jiang Weng ◽  
Song Liu
Keyword(s):  
Differential Evolution ◽  
Optimization Model ◽  
Optimization Problem ◽  
Optimal Path ◽  
Minimum Energy ◽  
Differential Evolution Algorithm ◽  
Path Optimization ◽  
Wireless Sensor ◽  
Advantages And Disadvantages ◽  
Evolution Algorithm

To study the optimization problem of wireless sensor network (WSN) based on differential evolution, the single objective differential evolution algorithm is applied and combined with the advantages and disadvantages crossover strategy. Firstly, the path optimization problem in WSN is analyzed, and the optimization model is established. Then, the differential evolution algorithm is used as the search tool to solve the minimum energy consumption in the path optimization model, that is, the optimal path problem. Finally, the comparison experiment is carried out on the classical algorithm genetic algorithm (GA), particle swarm optimization (PSO) and standard differential evolution (DE) algorithm. The results show that the performance of differential evolution algorithm based on crossover strategy is superior to or not worse than that of several contrast algorithms. It can be seen that the differential evolution algorithm based on advantage and disadvantage crossover strategy has good effectiveness.

Differential evolution algorithm applied to wireless sensor distribution on different geometric shapes with area and energy optimization

2018 ◽  
Vol 119 ◽  
pp. 14-23 ◽  
Author(s):  
Armando Céspedes-Mota ◽  
Gerardo Castañón ◽  
Alberto F. Martínez-Herrera ◽  
Leopoldo Eduardo Cárdenas-Barrón ◽  
Ana María Sarmiento
Keyword(s):  
Differential Evolution ◽  
Energy Optimization ◽  
Differential Evolution Algorithm ◽  
Wireless Sensor ◽  
Geometric Shapes ◽  
Evolution Algorithm

scholarly journals Application of Differential Evolution in the Solution of Stiff System of Ordinary Differential Equations

2020 ◽  
Vol 8 (1) ◽  
pp. 01-08
Author(s):  
Ashiribo Senapon Wusu ◽  
Olusola Olabanjo ◽  
Benjamin Aribisala
Keyword(s):  
Differential Evolution ◽  
Optimization Problem ◽  
Differential Evolution Algorithm ◽  
Approximate Solutions ◽  
Constrained Optimization Problem ◽  
Stiff System ◽  
Order Ordinary Differential Equation ◽  
First Order ◽  
Evolutionary Optimization Algorithms ◽  
Evolution Algorithm

In recent times, the adaptation of evolutionary optimization algorithms for obtaining optimal solutions of many classical problems is gaining popularity. In this paper, optimal approximate solutions of initial--valued stiff system of first--order Ordinary Differential Equation (ODE) are obtained by converting the ODE into constrained optimization problem. The later is then solve via differential evolution algorithm. To illustrate the efficiency of the proposed approach, two numerical examples were considered. This approach showed significant improvement on the accuracy of the results produced compared with existing methods discussed in literature.

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