Shape Optimization of High Power Centrifugal Compressor Using Multi-Objective Optimal Method

2015 ◽  
Vol 39 (5) ◽  
pp. 435-441 ◽  
Author(s):  
Hyun Su Kang ◽  
Jeong Min Lee ◽  
Youn Jea Kim
Keyword(s):  
Shape Optimization ◽  
Centrifugal Compressor ◽  
High Power ◽  
Optimal Method ◽  
Multi Objective

Multi-objective shape optimization of a tube bundle in cross-flow

2014 ◽  
Vol 68 ◽  
pp. 585-598 ◽  
Author(s):  
Paola Ranut ◽  
Gábor Janiga ◽  
Enrico Nobile ◽  
Dominique Thévenin
Keyword(s):  
Shape Optimization ◽  
Tube Bundle ◽  
Cross Flow ◽  
Multi Objective ◽  
Objective Shape

scholarly journals Multi-Objective Bee Swarm Optimization Algorithm with Minimum Manhattan Distance for Passive Power Filter Optimization Problems

Mathematics ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 133
Author(s):  
Nien-Che Yang ◽  
Danish Mehmood
Keyword(s):  
Power Systems ◽  
Optimization Problems ◽  
Filter Design ◽  
Manhattan Distance ◽  
Multi Objective Optimization ◽  
Optimal Method ◽  
Pareto Solution ◽  
Swarm Optimization ◽  
Multi Objective ◽  
Passive Power

Harmonic distortion in power systems is a significant problem, and it is thus necessary to mitigate critical harmonics. This study proposes an optimal method for designing passive power filters (PPFs) to suppress these harmonics. The design of a PPF involves multi-objective optimization. A multi-objective bee swarm optimization (MOBSO) with Pareto optimality is implemented, and an external archive is used to store the non-dominated solutions obtained. The minimum Manhattan distance strategy was used to select the most balanced solution in the Pareto solution set. A series of case studies are presented to demonstrate the efficiency and superiority of the proposed method. Therefore, the proposed method has a very promising future not only in filter design but also in solving other multi-objective optimization problems.

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