Evolutionary multi-objective multi-architecture design space exploration methodology

Frank, Christopher; Marlier, Renaud A.; Pinon-Fischer, Olivia J.; Mavris, Dimitri N.

doi:10.1007/s11081-018-9373-x

Cited by 12 publications

(3 citation statements)

References 20 publications

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“…Often, the reduction of the morphological set of solutions by the analysis of incompatible options is used. In some cases, graph theory and genetic algorithms are used [8,9]. In the case of AMA, clustering is used to aid the identification of similar solutions in vast solution spaces.…”

Section: Advanced Morphological Approachmentioning

confidence: 99%

Structured Expert Judgment Elicitation in Conceptual Aircraft Design

2023

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Disruptive technologies and novel aircraft generations represent a potential approach to address the ambitious emission reduction goals in aviation. However, the introduction of innovative concepts is a time-consuming process, which might not necessarily yield an optimal design for a given flight mission and within the defined time frame. In order to address the need for a structured and more exhaustive search for novel concept generations, the Advanced Morphological Approach (AMA) and its further enhancement was introduced earlier. It implies the decomposition of design problems into functional attributes and appropriate technological alternatives. Subsequently, these are evaluated and combined into solutions, which are then projected onto a solution space. The current paper focuses on the technology evaluation step by deriving and integrating structured expert judgment elicitation (SEJE) techniques into conceptual aircraft design with the AMA. For this purpose, the first aim of the work is to justify the developed method by giving an overview and discussing the most prominent SEJE methods and their applications in aerospace. Then, the derived SEJE concept is described and applied in the form of an expert workshop on the use case of wing morphing architecture. As a result, a solution space of wing morphing architecture configurations is generated and analyzed. The workshop conduction and the expert feedback serve as valuable findings for both the further AMA enhancement and similar research.

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Section: Advanced Morphological Approachmentioning

confidence: 99%

Structured Expert Judgment Elicitation in Conceptual Aircraft Design

2023

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“…EAs use populations of solutions, in combination with variation and selection operators, to increase the mean fitness of the population over several generations [25,26]. Various engineering design problems have been approached with EAs, from the domains of energy and transport networks [27,28], to task scheduling [29,30] and aerospace [31][32][33][34][35]. Most real-world engineering optimization applications are of a constraint, multi-objective nature, and EAs should establish a set of Paretodominant solutions, which approximate the true front accurately in a region of interest to a decision maker.…”

Section: Fqi Design Problem Descriptionmentioning

confidence: 99%

Rapid design of aircraft fuel quantity indication systems via multi-objective evolutionary algorithms

Judt¹,

Lawson²,

Heerden³

2021

ICA

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The design of electrical, mechanical and fluid systems on aircraft is becoming increasingly integrated with the aircraft structure definition process. An example is the aircraft fuel quantity indication (FQI) system, of which the design is strongly dependent on the tank geometry definition. Flexible FQI design methods are therefore desirable to swiftly assess system-level impact due to aircraft level changes. For this purpose, a genetic algorithm with a two-stage fitness assignment and FQI specific crossover procedure is proposed (FQI-GA). It can handle multiple measurement accuracy constraints, is coupled to a parametric definition of the wing tank geometry and is tested with two performance objectives. A range of crossover procedures of comparable node placement problems were tested for FQI-GA. Results show that the combinatorial nature of the probe architecture and accuracy constraints require a probe set selection mechanism before any crossover process. A case study, using approximated Airbus A320 requirements and tank geometry, is conducted and shows good agreement with the probe position results obtained with the FQI-GA. For the objectives of accessibility and probe mass, the Pareto front is linear, with little variation in mass. The case study confirms that the FQI-GA method can incorporate complex requirements and that designers can employ it to swiftly investigate FQI probe layouts and trade-offs.

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“…It can be measured either on specific variable axes or as a Euclidean distance as suggested by the arrows in the illustration. (Göhler, Eifler & Howard, 2016a), [2] (Beyer et al, 2007), [3] (Harbrecht et al, 2019) [4] (Rötzer et al, 2020), [5] (Riquelme et al, 2015), [6] (Barrico et al, 2006), [7] (Yannou et al, 2007), [8] (Frank et al, 2018), [9] (Deb et al, 2006) # Indicator & Short Description Illustration Ref.…”

Section: Iced21mentioning

confidence: 99%

Limitations of Design Space-Based Indicators for Early Robustness Assessment

et al. 2021

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This paper seeks to address the gap between qualitative Robust Design principles and parameter optimization. The former often fails to consider the challenging amount of details in embodiment and configuration design, while the latter is the widely accepted main thrust in traditional Robust Design. The gap is addressed by exploring the value of five quantitative robustness indicators for Design Space Exploration based on variables, objectives and constraints: The set level indicators, Design Space Size and Pareto Set Dispersion, and the point level indicators, Neighbourhood Performance, Failure Rate and Distance to Failure. As a background for the discussion of the limitations of these indicators an industrial case is presented. The case is an incremental encoder and includes two configurations for comparison, five objectives, eight variables, and a range of constraints. The design spaces are sampled and they show conflicting objectives, dispersed spaces and variables dependencies. Based on this it is suggested that set level indicators are more suitable than point level indicators of early robustness evaluation, but the available indicators are limited in their considerations of design space discontinuity and conflicts.

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Evolutionary multi-objective multi-architecture design space exploration methodology

Cited by 12 publications

References 20 publications

Structured Expert Judgment Elicitation in Conceptual Aircraft Design

Structured Expert Judgment Elicitation in Conceptual Aircraft Design

Rapid design of aircraft fuel quantity indication systems via multi-objective evolutionary algorithms

Limitations of Design Space-Based Indicators for Early Robustness Assessment

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