Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys

Ehrgott, Matthias; Gandibleux, Xavier

doi:10.1007/b101915

Cited by 225 publications

(2 citation statements)

References 27 publications

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“…Fundamentals of MODM and EAs can be found in Annotated Bibliographic Surveys. [55][56][57] Among those operators in EAs, the initialization and variation are problem-specific and must be coded accordingly. Fitness evaluation, diversity check and elitism are objective specific while replacement and selection are heuristic specific.…”

Section: Multi-objective Evolutionary Algorithms (Moea)mentioning

confidence: 99%

Multi‐objective approach to forecast design refresh time due to COTS obsolescence

Özkan

Bulkan

2022

Systems Engineering

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The purpose of this study is to provide program managers and systems engineers with a novel algorithm in determining the design refresh time (DRT) of sustainmentdominated systems due to COTS obsolescence. Most of the research done so far has focused on cost optimization. The main contribution of the study is two-fold. First, besides cost optimization, we have introduced efficiency optimization within a balanced approach to determine the DRT, under multiple objectives. Second, we used a set-based approach over the hypervolume quality values of solutions rather than population-based Pareto solutions. We proposed a discrete-time simulation model by using Multi-Objective Evolutionary Algorithms where the deterioration over the quality values of Pareto solution sets is used as an indicator for a DRT. We supported the proposed mathematical model in theory with empirical findings from a case study for a sustainment-dominated Naval Command and Control System that was designed in 2004 and deployed in 2007. We ran the simulation as for 2007 and conducted an analysis over the cost and operational efficiency objectives to compare the situation experienced in real life against the simulation outputs of the proposed model. The results revealed that not only the total life cycle cost but also efficient operational sustainability of a system would be increased significantly if the system had gone through design refreshes as proposed by the model. We showed that the deterioration of the Pareto optimal solutions' hypervolume quality values over time is an effective marker to decide the optimal DRT under conflicting multiple objectives.

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Section: Multi-objective Evolutionary Algorithms (Moea)mentioning

confidence: 99%

Multi‐objective approach to forecast design refresh time due to COTS obsolescence

Özkan

Bulkan

2022

Systems Engineering

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“…The field of multi-objective optimization suggests several approaches to this question [e.g., 17,45,49]. In order to keep the example evaluation below simple, we present one common approach: weighting.…”

Section: Evaluation Settingmentioning

confidence: 99%

Recommendation Systems in Software Engineering

2014

113

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This chapter describes the concepts involved in the process of benchmarking of recommendation systems. Benchmarking of recommendation systems is used to ensure the quality of a research system or production system in comparison to other systems, whether algorithmically, infrastructurally, or according to any sought-after quality. Specifically, the chapter presents evaluation of recommendation systems according to recommendation accuracy, technical constraints, and business values in the context of a multi-dimensional benchmarking and evaluation model encompassing any number of qualities into a final comparable metric. The focus is put on quality measures related to recommendation accuracy, technical factors, and business values. The chapter first introduces concepts related to evaluation and benchmarking of recommendation systems, continues with an overview of the current state of the art, then presents the multi-dimensional approach in detail. The chapter concludes with a brief discussion of the introduced concepts and a summary. A. Said ( )

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Housing and Community Development

Johnson

2011

Wiley Encyclopedia of Operations Research and Management Science

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Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys

Cited by 225 publications

References 27 publications

Multi‐objective approach to forecast design refresh time due to COTS obsolescence

Multi‐objective approach to forecast design refresh time due to COTS obsolescence

Recommendation Systems in Software Engineering

Housing and Community Development

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