Multi-Objective System Design Synthesis for Electric Powertrain Development

2018 ◽  
Author(s):  
Martin Hofstetter ◽  
Mario Hirz ◽  
Martin Gintzel ◽  
Andreas Schmidhofer
Keyword(s):  
System Design ◽  
Design Synthesis ◽  
Multi Objective ◽  
Objective System

scholarly journals Multi-objective System Design Optimization via PPA and a Fuzzy Method

2021 ◽  
Author(s):  
Mohamed Arezki Mellal ◽  
Abdellah Salhi
Keyword(s):  
System Design ◽  
Cost Optimization ◽  
System Availability ◽  
Fuzzy Method ◽  
Multi Objective ◽  
Objective System ◽  
System Design Optimization ◽  
Series Systems ◽  
Numerical Case Study

AbstractSystem design deals with various challenges of targets and resources, such as reliability, availability, maintainability, cost, weight, volume, and configuration. This paper deals with the multi-objective system availability and cost optimization of parallel–series systems by resorting to the multi-objective strawberry algorithm also known as the Plant Propagation Algorithm or PPA and a fuzzy method. It is the first implementation of this optimization algorithm in the literature for this kind of problem to generate the Pareto Front. The fuzzy method allows helping the decision maker to select the best compromise solution. A numerical case study involving 10 subsystems highlights the applicability of the proposed approach.

A Spectral Optimization Algorithm for Multi-Objective Prototype Selection

1995 ◽  
Author(s):  
Andy Dong ◽  
Alice M. Agogino
Keyword(s):  
Optimization Algorithm ◽  
Parametric Design ◽  
Selection Process ◽  
Objective Evaluation ◽  
Design Synthesis ◽  
Multi Objective ◽  
Trade Offs ◽  
Spectral Optimization ◽  
The Right ◽  
Selection Of

Abstract In design synthesis, engineering prototypes make an ideal representation medium for preliminary designs. Unlike parametric design wherein a pre-specified design is parametrically varied, design synthesis demands artistic creativity and engineering experience to transform the previously known components, relationships and designs into a new form. The process compels the designer to ascertain which prototypes will, in some sense, best satisfy the design task. The challenge in this assignment lies in selecting the “right” design prototype. This selection process typically entails an objective evaluation of different designs that perform the same functions or have similar intended behavior and comparing trade-offs between alternate designs. This paper introduces a multi-objective spectral optimization algorithm for the selection of design prototypes based upon their functional representations. The optimization algorithm returns an index of rank, scoring the functional similarity of the proposed design to the goal design. Two illustrative examples apply the algorithm to the selection of a heat fin and beam.

Trickle System Design Synthesis

1990 ◽  
pp. 582-602
Author(s):  
Jack Keller ◽  
Ron D. Bliesner
Keyword(s):  
System Design ◽  
Design Synthesis
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