An orthogonal-array-based particle swarm optimizer with nonlinear time-varying evolution

2007 ◽  
Vol 191 (1) ◽  
pp. 272-279 ◽  
Author(s):  
Chia-Nan Ko ◽  
Ying-Pin Chang ◽  
Chia-Ju Wu
Keyword(s):  
Orthogonal Array ◽  
Particle Swarm ◽  
Time Varying ◽  
Particle Swarm Optimizer

scholarly journals Adaptive-Uniform-Experimental-Design-Based Fractional-Order Particle Swarm Optimizer with Non-Linear Time-Varying Evolution

2019 ◽  
Vol 9 (24) ◽  
pp. 5537 ◽  
Author(s):  
Po-Yuan Yang ◽  
Fu-I Chou ◽  
Jinn-Tsong Tsai ◽  
Jyh-Horng Chou
Keyword(s):  
Experimental Design ◽  
Fractional Order ◽  
Optimization Problems ◽  
Linear Time ◽  
Particle Swarm ◽  
Time Varying ◽  
Particle Swarm Optimizer ◽  
Local Optima ◽  
Non Linear ◽  
Velocity Derivative

An adaptive-uniform-experimental-design-based fractional particle swarm optimizer (AUFPSO) with non-linear time-varying evolution (NTE) is proposed. A particle swarm optimizer (PSO) is an excellent evolutionary algorithm due to its simple structure and rapid convergence. Nevertheless, PSO has notable drawbacks. Although many proposed methods and strategies have enhanced its effectiveness and performance, PSO is limited by its tendency to fall into local optima and its tendency to obtain different solutions in each search (i.e., its weak robustness). Introducing fractional-order calculus in PSO (FPSO) can correct the order of the velocity derivative for each particle, which enhances the diversity and algorithmic effectiveness. This study used NTE of the order of the velocity derivative, inertia weight, cognitive parameter, and social parameter in an FPSO used to search for a global optimal solution. To obtain the best combination of FPSO and NTE, an adaptive uniform experimental design (AUED) method was used to deal with this essential issue. The AUED method integrates a uniform layout with the best combination phase and a stepwise ratio to assist in selecting the best combination for FPSO-NTE. Experimental applications in 15 global numerical optimization problems confirmed that the AUFPSO-NTE had a better performance and robustness than existing PSO-related algorithms.

Supercritical CO2 Extraction of Rhizoma Atractylodis macrocephalae

2012 ◽  
Vol 549 ◽  
pp. 60-64
Author(s):  
Zhen Huang ◽  
Xiao Han Shi ◽  
Shao Fang Liu ◽  
Wei Juan Jiang
Keyword(s):  
Particle Size ◽  
Orthogonal Array ◽  
Time Pressure ◽  
Extraction Yield ◽  
Extraction Time ◽  
Time Varying ◽  
Orthogonal Array Design ◽  
Array Design ◽  
Different Sources

An orthogonal array design was employed for optimizing the supercritical CO2 extraction of Rhizoma Atractylodis Macrocephalae. The extraction was performed at temperature from 40 to 60oC, pressure from 15 to 35MPa, extraction time varying from 30 to 90min and particle size spanning from 20 to 80 mesh. The results reflect that the extraction yield is more significantly influenced by the extraction time, pressure and particle size but less by temperature. The experiments show that the extraction yield obviously increases with increasing pressure, different from the literatures. In terms of the sample origin, a comparison shows that outstanding differences exist among the extraction yields from different sources.

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