Multi-Objective Optimization of Multi-Level DC–DC Converters Using Geometric Programming

2019 ◽  
Vol 34 (12) ◽  
pp. 11912-11939 ◽  
Author(s):  
Andrija Stupar ◽  
Timothy McRae ◽  
Nenad Vukadinovic ◽  
Aleksandar Prodic ◽  
Josh A. Taylor
Keyword(s):  
Geometric Programming ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Multi Level

Multi-objective optimization of two-dimensional phoxonic crystals with multi-level substructure scheme

2016 ◽  
Vol 30 (09) ◽  
pp. 1650046 ◽  
Author(s):  
S. Zhang ◽  
J. Yin ◽  
H. W. Zhang ◽  
B. S. Chen
Keyword(s):  
Optical Devices ◽  
Two Dimensional ◽  
Regular Pattern ◽  
Multi Objective Optimization ◽  
New Materials ◽  
Optomechanical Systems ◽  
Multi Objective ◽  
Design And Synthesis ◽  
Multi Level ◽  
Photonic Band

Phoxonic crystal (PXC) is a promising artificial periodic material for optomechanical systems and acousto-optical devices. The multi-objective topology optimization of dual phononic and photonic max relative bandgaps in a kind of two-dimensional (2D) PXC is investigated to find the regular pattern of topological configurations. In order to improve the efficiency, a multi-level substructure scheme is proposed to analyze phononic and photonic band structures, which is stable, efficient and less memory-consuming. The efficient and reliable numerical algorithm provides a powerful tool to optimize and design crystal devices. The results show that with the reduction of the relative phononic bandgap (PTBG), the central dielectric scatterer becomes smaller and the dielectric veins of cross-connections between different dielectric scatterers turn into the horizontal and vertical shape gradually. These characteristics can be of great value to the design and synthesis of new materials with different topological configurations for applications of the PXC.

scholarly journals The Method of MMC Redundancy Optimization Allocation Based on Multi-objective Optimization

2018 ◽  
Vol 173 ◽  
pp. 03075
Author(s):  
Enshu Jin ◽  
Yagu Zhang
Keyword(s):  
Optimization Method ◽  
Normal Operation ◽  
Multi Objective Optimization ◽  
Configuration Optimization ◽  
Multi Objective ◽  
Optimal Value ◽  
Optimization Function ◽  
Multi Level ◽  
Optimization Allocation ◽  
Level Converter

When the modular multi-level converter of the sub-module faults, which will cause the unbalanced system, affect the normal operation of the system, so to the MMC arm configuration redundant sub-module is necessary, if the sub-module faults, redundant sub-modules will replace the fault sub-module maintaining the normal operation of system. In this paper, we propose a reasonable and effective method for the configuration optimization of redundant sub-module based on the three indexes, namely, efficient utilization of redundant sub-module, the number of redundant sub-module and the reliability of the system MMC, considering the three factors, establishing a multi-objective optimization function of redundant configuration, By calculating the optimal value to accurately calculate the number of redundant sub-module of MMC, based on the proposed redundancy configuration optimization method, building a simulation model of MMC 5 level in PSCAD, the results verify the rationality and feasibility of the proposed optimization method.

scholarly journals A Multi-Level Multi-Objective Quadratic Programming Problem with Fuzzy Parameters on Objective Functions

2016 ◽  
Vol 15 (5) ◽  
pp. 6738-6748 ◽  
Author(s):  
Usama Emam
Keyword(s):  
Quadratic Programming ◽  
Programming Problem ◽  
Decision Model ◽  
Fuzzy Numbers ◽  
Quadratic Programming Problem ◽  
Objective Functions ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Multi Level ◽  
Fuzzy Parameters

This paper proposes an algorithm to solve multi-level multi-objective quadratic programming problem with fuzzy parameters in the objective functions, This algorithm uses the tolerance membership function concepts and multi-objective optimization at each level to develop a fuzzy Max-Min decision model for generating satisfactory solution after applying linear ranking method on trapezoidal fuzzy numbers in the objective functions, An illustrative example is included to explain the results.

Sign in / Sign up

Export Citation Format

Share Document