A Ship Design Tool Using Genetic Algorithms

Author(s):  
S Vasudevan ◽  
◽  
S C Rusling ◽  
2017 ◽  
Vol 59 ◽  
pp. 19-26 ◽  
Author(s):  
Steven C. Mallam ◽  
Monica Lundh ◽  
Scott N. MacKinnon
Keyword(s):  

2004 ◽  
Vol 23 (3) ◽  
pp. 68-78
Author(s):  
Jean Fivaz ◽  
Willem A. Cronjé

The goal of this investigation is to determine the advantages of using genetic algorithms in computer-aided design as applied to inductors.  These advantages are exploited in design problems with a number of specifications and constraints, as encountered in power electronics during practical inductor design. The design tool should be able to select components, such as cores and wires, from databases of available components, and evaluate these choices based on the components’ characteristic data read from a database of manufacturers’ data-sheets.  The proposed design must always be practically realizable, as close to the desired specifications as possible and within any specified constraints.


2021 ◽  
Vol 12 (1) ◽  
pp. 215-224
Author(s):  
Mahnoor Maghroori ◽  
Mehdi Dolatshahi

This paper presents a design CAD tool for automated design of digital CMOS VLSI circuits. In order to fit the circuit performance into desired specifications, a multi-objective optimization approach based on genetic algorithms (GA) is proposed and the transistor sizes are calculated based on the analytical equations describing the behavior of the circuit. The optimization algorithm is developed in MATLAB and the performance of the designed circuit is verified using HSPICE simulations based on 0.18µm CMOS technology parameters. Different digital integrated circuits were successfully designed and verified using the proposed design tool. It is also shown in this paper that, the design results obtained from the proposed algorithm in MATLAB, have a very good agreement with the obtained circuit simulation results in HSPICE.


1986 ◽  
Vol 2 (02) ◽  
pp. 90-100
Author(s):  
Michael L. Bosworth ◽  
Clark Graham

There are many producibility concepts which affect the characteristics of a naval ship. These concepts must be addressed during the early phases of the ship design process while the ship is still flexible. Since these producibility concepts may affect ship performance and technical risk, as well as ship characteristics and cost, a rigorous tradeoff analysis is required. This paper provides examples of producibility concepts which should be addressed during the ship design process. An evaluation procedure is presented to assist in the gathering and the organizing of information required for an objective tradeoff analysis. The ship synthesis model "ASSET" is utilized as the principal design tool to determine ship impact and the cost of producibility concepts. One of the primary recommendations of the authors is that the Navy increase the visibility of producibility as a design factor in naval ships by developing rigorous evaluation tools, cataloging producibility concepts for considerations in future designs, and establishing an advocate for ship producibility within the design organization.


1999 ◽  
Vol 1 (2) ◽  
pp. 103-114 ◽  
Author(s):  
Robert J. Abrahart ◽  
Linda See ◽  
Pauline E. Kneale

Four design tool procedures are examined to create improved neural network architectures for forecasting runoff from a small catchment. Different algorithms are used to remove nodes and connections so as to produce an optimised forecasting model, thereby reducing computational expense without loss in performance. The results also highlight issues in selecting analytical methods to compare outputs from different forecasting procedures.


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