A New Structure for Particle Swarm Optimization (nPSO) Applicable to Single Objective and Multiobjective Problems

2006 ◽  
Author(s):  
Qian Zhang ◽  
Mahdi Mahfouf
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Multiobjective Problems ◽  
Single Objective

scholarly journals Multi-Objective Particle Swarm Optimization of Sensor Distribution Scheme with Consideration of the Accuracy and the Robustness for Deformation Reconstruction

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1306 ◽  
Author(s):  
Feifei Zhao ◽  
Hong Bao ◽  
Song Xue ◽  
Qian Xu
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Model ◽  
Particle Swarm ◽  
Strain Sensor ◽  
Reconstruction Accuracy ◽  
Swarm Optimization ◽  
Multi Objective ◽  
Promising Tool ◽  
Circular Beam ◽  
Single Objective

For the inverse finite element method (iFEM), an inappropriate scheme of strain senor distribution would cause severe degradation of the deformation reconstruction accuracy. The robustness of the strain–displacement transfer relationship and the accuracy of reconstruction displacement are the two key factors of reconstruction accuracy. Previous research studies have been focused on single-objective optimization for the robustness of the strain–displacement transfer relationship. However, researchers found that it was difficult to reach a mutual balance between robustness and accuracy using single-objective optimization. In order to solve this problem, a bi-objective optimal model for the scheme of sensor distribution was proposed for this paper, where multi-objective particle swarm optimization (MOPSO) was employed to optimize the robustness and the accuracy. Initially, a hollow circular beam subjected to various loads was used as a case to perform the static analysis. Next, the optimization model was established and two different schemes of strain sensor were obtained correspondingly. Finally, the proposed schemes were successfully implemented in both the simulation calculation and the experiment test. It was found that the results from the proposed optimization model in this paper proved to be a promising tool for the selection of the scheme of strain sensor distribution.

scholarly journals Particle Swarm Optimization for Antenna Designs in Engineering Electromagnetics

2008 ◽  
Vol 2008 ◽  
pp. 1-10 ◽  
Author(s):  
Nanbo Jin ◽  
Yahya Rahmat-Samii
Keyword(s):  
Particle Swarm Optimization ◽  
Patch Antenna ◽  
Ground Plane ◽  
Particle Swarm ◽  
Dual Band ◽  
Radiation Characteristics ◽  
Swarm Optimization ◽  
Multiobjective Problems ◽  
Wave Antenna ◽  
Measurement Results

This paper presents recent advances in applying particle swarm optimization (PSO) to antenna designs in engineering electromagnetics. By linking the PSO kernel with external electromagnetic (EM) analyzers, the algorithm has the flexibility to handle both real and binary variables, as well as multiobjective problems with more than one optimization goal. Three examples, including the designs of a dual-band patch antenna, an artificial ground plane of a surface wave antenna, and an aperiodic antenna array, are presented. Both simulation and measurement results are provided to illustrate the effectiveness of applying the swarm intelligence to design antennas with desired frequency response and radiation characteristics for practical EM applications.

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