A Survey of Bio Inspired Optimization Algorithms for Optimal Design of Power Devices

2019 ◽  
Author(s):  
Goga Cvetkovski
Keyword(s):  
Optimal Design ◽  
Optimization Algorithms ◽  
Power Devices

scholarly journals The Optimal Design of Trench Field Rings for High Breakdown Voltage

2011 ◽  
Vol 2-3 ◽  
pp. 1047-1050
Author(s):  
Ey Goo Kang ◽  
Sung Young Hong ◽  
Byoung Sub Ahn
Keyword(s):  
Optimal Design ◽  
Breakdown Voltage ◽  
Power Devices ◽  
High Breakdown Voltage ◽  
Process Simulations ◽  
Trench Width ◽  
Conventional Field

The trench field ring for breakdown voltage of power devices is proposed. The new ring can improve 10% efficiency comparing with conventional field ring. Five parameters of trench field ring for design of trench field ring are analyzed and 2-D devices simulation and process simulations are carried out. The number of field ring, juction depth, distance of field rings, trench width, doping profiled are discussed. The proposed trench field ring was better for higher voltage more than 1000V.

scholarly journals Optimal Design of Passive and Active Control Systems in Seismic-excited Structures Using a New Modified TLBO

2020 ◽  
Author(s):  
Saeed Hosseinaei ◽  
Mohammad Reza Ghasemi ◽  
Sadegh Etedali
Keyword(s):  
Optimal Design ◽  
Structural Control ◽  
Passive Control ◽  
Optimization Problems ◽  
Optimization Algorithms ◽  
Control Device ◽  
Feedback Gain ◽  
Active Structural Control ◽  
Teaching Learning Based Optimization ◽  
Teaching Learning

Vibration control devices have recently been used in structures subjected to wind and earthquake excitations. The optimal design problems of the passive control device and the feedback gain matrix of the controller for the seismic-excited structures are some attractive problems for researches to develop optimization algorithms with the advancement in terms of simplicity, accuracy, speed, and efficacy. In this paper, a new modified teaching–learning-based optimization (TLBO) algorithm, known as MTLBO, is proposed for the problems. For some benchmark optimization functions and constrained engineering problems, the validity, efficacy, and reliability of the MTLBO are firstly assessed and compared to other optimization algorithms in the literature. The undertaken statistical indicate that the MTLBO performs better and reliable than some other algorithms studied here. The performance of the MTLBO will then be explored for two passive and active structural control problems. It is concluded that the MTLBO algorithm is capable of giving better results than conventional TLBO. Hence, its utilization as a simple, fast, and powerful optimization tool to solve particular engineering optimization problems is recommended.

scholarly journals Optimal design of feeding system in steel casting by constrained optimization algorithms based on InteCAST

China Foundry ◽  
2016 ◽  
Vol 13 (6) ◽  
pp. 375-382 ◽  
Author(s):  
Chang-chun Dong ◽  
Xu Shen ◽  
Jian-xin Zhou ◽  
Tong Wang ◽  
Ya-jun Yin
Keyword(s):  
Optimal Design ◽  
Constrained Optimization ◽  
Steel Casting ◽  
Optimization Algorithms ◽  
Feeding System

scholarly journals Optimal Design of Multi-Span Pitched Roof Frames with Tapered Members

2018 ◽  
Author(s):  
Ali Kaveh ◽  
Mohammad Zaman Kabir ◽  
Mahdi Bohlool
Keyword(s):  
Optimal Design ◽  
Heuristic Algorithms ◽  
Optimization Algorithms ◽  
Lateral Loads ◽  
Optimal Weight ◽  
Industrial Buildings ◽  
Optimum Weight ◽  
Apex Height ◽  
Tapered Members

Many industrial buildings require large spans and high height, and the use of a frame with inclined roofs with non-prismatic elements can reduce the usage of steel. Pitched roof frame with single spans are optimized using different meta-heuristic algorithms. In this paper, the optimal design of industrial frames with two and three spans under gravity and lateral loads is performed. Five efficient and widely accepted optimization algorithms are used to optimize each frame. The convergence histories and design results of these algorithms are compared and the most suitable algorithm is determined. In each frame, the effect of increasing the apex height is evaluated on the optimal weight and the best angle is determined for optimum weight.

Computer aided process and design optimization for injection moulding

2002 ◽  
Vol 216 (12) ◽  
pp. 1523-1532 ◽  
Author(s):  
L-S Turng ◽  
M Peić
Keyword(s):  
Optimal Design ◽  
Injection Moulding ◽  
Optimization Algorithms ◽  
Process Variables ◽  
Simulation Tools ◽  
Engineering Discipline ◽  
Computer Aided ◽  
Efficiency And Effectiveness ◽  
Scientific Principles ◽  
Input Variables

Sophisticated computer aided engineering (CAE) simulation tools for injection moulding have been available and are now widely used in industrial practices. As a result, the design and manufacturing of injection-moulded parts have been literally transformed from a ‘black art’ to an engineering discipline based on scientific principles. It is well recognized that computer simulation tools help engineers to gain process insight and to pinpoint blind spots and problems that are overlooked. Nevertheless, there remains a missing link in CAE, which lies in the ability to identify effectively the optimal design and process variables, as it is hampered by the sheer amount of computer-generated data and complex non-linear interactions among those input variables. This paper presents the system implementation and experimental verifications of an integrated CAE optimization tool that couples a process simulation program with optimization algorithms to determine intelligently and automatically the optimal design and process variables for injection moulding. In addition, this study enables evaluation and comparison of various local and global optimization algorithms in terms of computational efficiency and effectiveness for injection moulding, as presented in this paper.

Sign in / Sign up

Export Citation Format

Share Document