Constrained multi-objective optimization of EDM process parameters using kriging model and particle swarm algorithm

2017 ◽  
Vol 33 (4) ◽  
pp. 397-404 ◽  
Author(s):  
Xuan-Phuong Dang
Keyword(s):  
Process Parameters ◽  
Particle Swarm ◽  
Kriging Model ◽  
Particle Swarm Algorithm ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Swarm Algorithm ◽  
Edm Process

Multi-Objective Optimal Sizing Hybrid Power System in a Solar Electric Vehicle Using Particle Swarm Optimization Algorithm

2013 ◽  
Vol 694-697 ◽  
pp. 2699-2703 ◽  
Author(s):  
Shi Qiong Zhou ◽  
Gui Fang Guo ◽  
Yong Yang Xiang
Keyword(s):  
Power System ◽  
Electric Vehicle ◽  
Particle Swarm ◽  
Particle Swarm Algorithm ◽  
Multi Objective Optimization ◽  
Hybrid Power System ◽  
Optimal Sizing ◽  
Multi Objective ◽  
Hybrid Power ◽  
Swarm Algorithm

In a solar electric vehicle, the optimal sizing of hybrid power system can be considered as a multi-objective optimization problem. The two conflicting goals are to maximize the Loss of Peak Power Probability (LPPP) and minimize the system cost. And the former is related to the reliability of the system while the latter relates to whether production prototype so the two optimization objectives are important. An improved particle swarm algorithm was presented to optimal size the hybrid power system. Here the mutation operator of genetic algorithm was introduced and the acceleration factor could change with time. The optimization results show that: the improved particle swarm algorithm can well solve the hybrid power system for multi-objective optimization problems.

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