Rationalizing approaches to multi-objective optimization in systems architecture design

Hammami, Omar; Houllier, Marc

doi:10.1109/syscon.2014.6819289

Cited by 13 publications

(6 citation statements)

References 10 publications

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“…Ref. . presents the generic systems architecture optimization (SAO) problem as comprising of three elements: 1.…”

Section: Related Workmentioning

confidence: 99%

“…Improved project performance can be gained even through less formal approaches whereby the majority of systems architecture decisions are carried out using the knowledge and expertise of engineers, but in a well‐defined task‐flow . More formal approaches attempt to automate some of these tasks and use optimization to produce optimal architectures that maximize satisfaction of some objective function and ensure system requirements or constraints are met . Use of optimization also ensures a fuller exploration of the search space and limits the effects of cognitive biases.…”

Section: Introductionmentioning

confidence: 99%

“…2018;21:417-431. c 2018 Wiley Periodicals, Inc. 417 wileyonlinelibrary.com/journal/sys met. [9][10][11][12][13][14][15][16] Use of optimization also ensures a fuller exploration of the search space and limits the effects of cognitive biases. This paper follows a more formal approach, presenting a framework for optimization of controlled flow network architectures.…”

Section: Introductionmentioning

confidence: 99%

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Optimized synthesis of cost‐effective, controllable oil system architectures for turbofan engines

Hambley

Jones

Griffin

et al. 2018

Systems Engineering

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Turbofan oil systems are used to provide lubrication and cooling in the engine . There is an increasing interest in oil system architectures which utilize electric pumps and/or valves to give optimized control of flows to individual oil chambers, leading to improved thermal management of oil and lubrication efficiency. The challenges here lie in the trade‐off between increasing controllability and minimizing the addition of new components, which adds unwanted production and maintenance costs. This paper formulates the oil system architecture design as a constrained, multiobjective optimization problem. An architecture is described using a graph with nodes representing components and edges representing interconnections between components. A fixed set of nodes called the architecture template is provided as an input and the edges are optimized for a multicriteria objective function. A heuristic method for determining similarities between the different oil chamber flow requirements is presented. This is used in the optimization to evaluate the controllability objective based on the structure of the valve architecture. The methodology provides benefits to system designers by selecting cheaper architectures with fewer valves when the need to control oil chambers separately is small. The effect of manipulating the cost/controllability criteria weightings is investigated to show the impact on the resulting architecture.

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“…Ref. . presents the generic systems architecture optimization (SAO) problem as comprising of three elements: 1.…”

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimized synthesis of cost‐effective, controllable oil system architectures for turbofan engines

Hambley

Jones

Griffin

et al. 2018

Systems Engineering

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“…Measures of complexity are meant to help us anticipate and thus control the efficiency of our optimization (Hammami and Houllier 2014). We're here exploring this concept in the case of reconfigurability.…”

Section: Consequences On Complexity Of Optimizationmentioning

confidence: 99%

“…Given a set of optimization problems, we call "measure of complexity" a parameter of these optimization problems such that complexity is (highly correlated to) a monotonic function of that parameter. Measures of complexity are meant to help us anticipate and thus control the efficiency of our optimization (Hammami and Houllier 2014). We're here exploring this concept in the case of reconfigurability.…”

Section: Consequences On Complexity Of Optimizationmentioning

confidence: 99%

Reconfigurability in Decision‐centered System Design

Houllier

2014

INCOSE International Symp

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Abstract. Correctly informing the decision makers of the consequences of the various choices they can take during design is an important task which requires specific tools. With as our system of interest an emergency encampment, we explore the design dimension that is reconfigurability. Specifically, we explore the trade-offs implied by the choice of a reconfigurable architecture and the possibility to include reconfigurability in architecture multi-objective optimization, with a study of the complexity induced by such an inclusion. Finally, we take a look at a broader set of system properties for which this study applies, and the trade-offs between these properties.

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Defense program quality‐cost‐delay optimization: architecture framework, a bridge between program management and system engineering

Brisacier‐Porchon,

Hammami

2023

Systems Engineering

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Military program management and system engineering re quire the expression of costs and delay trade‐off with respect to system architecture. If architecture frameworks (AF) such as NATO (NAF) were designed to fill this common need, their current state is essentially descriptive. As it turns out, building defense systems architectures using those frameworks in a properly anticipated cost/delay budget envelope would require to have all system engineering already solved, because the architecture frameworks are designed to provide an explicit representation of the operational domain that can be used in analysis, for articulation of issues and requirements, as support to planning, and as a means of solution design and validation, among other things. Thus Quality‐Resource‐Time <Q,R,T> optimality in a regularly evolving environment cannot be represented in acceptable delay without automated optimization assistance. Our contribution in this article explores coupling architecture framework with operation research (OR) models to enable computer assisted design and evaluation of heterogeneous views in NATO Architecture Framework (NAF). Our illustrative example is a Linear Programming based bridge between program management and system engineering to anticipate <Q,R,T> optimal trade‐offs. This article presents promising results, with which we hope to show how OR and AF will be indivisible in architecture evaluation process.

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Rationalizing approaches to multi-objective optimization in systems architecture design

Cited by 13 publications

References 10 publications

Optimized synthesis of cost‐effective, controllable oil system architectures for turbofan engines

Optimized synthesis of cost‐effective, controllable oil system architectures for turbofan engines

Reconfigurability in Decision‐centered System Design

Defense program quality‐cost‐delay optimization: architecture framework, a bridge between program management and system engineering

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