An Adaptive Pseudospectral Method for Constrained Dynamic Optimization Problems in Chemical Engineering

2016 ◽  
Vol 39 (10) ◽  
pp. 1884-1894 ◽  
Author(s):  
Long Xiao ◽  
Xinggao Liu ◽  
Shiming He
Keyword(s):  
Dynamic Optimization ◽  
Chemical Engineering ◽  
Optimization Problems ◽  
Pseudospectral Method ◽  
Dynamic Optimization Problems

Dynamic Optimization of Chemical Processes Based on Modified Sailfish Optimizer Combined with an Equal Division Method

Processes ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1806
Author(s):  
Yuedong Zhang ◽  
Yuanbin Mo
Keyword(s):  
Dynamic Optimization ◽  
Production Efficiency ◽  
Chemical Engineering ◽  
Optimization Problems ◽  
Optimal Solution ◽  
Population Diversity ◽  
Equal Division ◽  
Dynamic Optimization Problems ◽  
Increase Production Efficiency ◽  
Chaotic Mapping

The optimal solution of the chemical dynamic optimization problem is the basis of automatic control operation in the chemical process, which can reduce energy consumption, increase production efficiency, and maximize economic benefit. In this paper, a modified sailfish optimizer (MSFO) combined with an equal division method is proposed for solving chemical dynamic optimization problems. Based on the basic sailfish optimizer, firstly, the tent chaotic mapping strategy is introduced to disturb the initialization of sailfish and sardine populations to avoid the loss of population diversity. Secondly, an adaptive linear reduction strategy of attack parameters is proposed to enhance the exploration and exploitation ability of sailfish. Thirdly, the updating formula of sardine position is modified, and the global optimal solution is used to attract all sardine positions, which can avoid the premature phenomenon of the algorithm. Eventually, the MSFO is applied to solve six classical optimization cases of chemical engineering to evaluate its feasibility. The experimental results are analyzed and compared with other optimization methods to prove the superiority of the MSFO in solving chemical dynamic optimization problems.

An algorithm comparison for dynamic optimization problems

2012 ◽  
Vol 12 (10) ◽  
pp. 3176-3192 ◽  
Author(s):  
Ignacio G. del Amo ◽  
David A. Pelta ◽  
Juan R. González ◽  
Antonio D. Masegosa
Keyword(s):  
Dynamic Optimization ◽  
Optimization Problems ◽  
Dynamic Optimization Problems ◽  
Algorithm Comparison
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