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An experimental analysis of the p-median problem under uncertainty : an evolutionary algorithm approach
López-Monzalvo, Francisco; Brizuela, Carlos A. - In: European journal of industrial engineering : EJIE 8 (2014) 4, pp. 554-578
Persistent link: https://www.econbiz.de/10011284994
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Concepts of efficiency for uncertain multi-objective optimization problems based on set order relations
Ide, Jonas; Köbis, Elisabeth - In: Mathematical methods of operations research 80 (2014) 1, pp. 99-127
Persistent link: https://www.econbiz.de/10010406740
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Scenario presentation and scenario generation in multi-criteria assessments : an exploratory study
Ram, Camelia - In: Technological forecasting & social change : an … 151 (2020), pp. 1-20
Persistent link: https://www.econbiz.de/10012229716
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Concepts of efficiency for uncertain multi-objective optimization problems based on set order relations
Ide, Jonas; Köbis, Elisabeth - In: Mathematical Methods of Operations Research 80 (2014) 1, pp. 99-127
In this paper we present new concepts of efficiency for uncertain multi-objective optimization problems. We analyze the connection between the concept of minmax robust efficiency presented by Ehrgott et al. (Eur J Oper Res, <CitationRef CitationID="CR14">2014</CitationRef>, doi:<ExternalRef> <RefSource>10.1016/j.ejor.2014.03.013</RefSource> <RefTarget Address="10.1016/j.ejor.2014.03.013" TargetType="DOI"/> </ExternalRef>) and the upper set less order...</refsource></externalref></citationref>
Persistent link: https://www.econbiz.de/10010999732
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Lexicographic α-robustness: An alternative to min–max criteria
Kalaı¨, Rim; Lamboray, Claude; Vanderpooten, Daniel - In: European Journal of Operational Research 220 (2012) 3, pp. 722-728
Robustness in Operations Research/Decision Aid is often associated with min–max and min–max regret criteria. This …. Nevertheless, these criteria are known to be too conservative. In this paper, we present and study a new robustness approach …, called lexicographic α-robustness, which compensates for this major drawback and many others. Furthermore, we establish a …
Persistent link: https://www.econbiz.de/10011052452
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An experimental analysis of the p-median problem under uncertainty: an evolutionary algorithm approach
López-Monzalvo, Francisco; Brizuela, Carlos A. - In: European Journal of Industrial Engineering 8 (2014) 4, pp. 554-578
uncertainty by means of scenarios and to optimise some robustness criteria such as the average and maximum regrets over these … scenarios. We propose to model the robust design as a bi-objective optimisation problem and to use a well-known multi …
Persistent link: https://www.econbiz.de/10011130266
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STRATEGIC PLANNING OF FUTURE PRODUCTS WITH PRODUCT SCENARIOS
GRIENITZ, VOLKER; BLUME, VOLKER - In: International Journal of Innovation and Technology … 07 (2010) 03, pp. 237-246
about their suitability. The resulting scenarios, roadmaps and regular monitoring processes are prerequisite for the … scenarios represent a holistic approach for managing innovation processes and technologies efficiently. The analysis through …
Persistent link: https://www.econbiz.de/10008455298
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Dynamics of urban sprawl : applying a CA-based model to explore future development scenarios in Thessaloniki
Lagarias, Apostolos - 2013
, socioeconomic, environmental and urban planning data. The model is applied to explore scenarios of future development in at the … and on the exploration of future development scenarios. The calibration of the model is based on an automatic calibration … to the observed data is evaluated. The model is then used to explore two different scenarios of urban development. The …
Persistent link: https://www.econbiz.de/10011575769
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Increasing lobster processing margins through scenario linear programming
Fruytier, Pierre-André M.; Jensson, Páll - In: International transactions in operational research : a … 30 (2023) 4, pp. 1986-1999
Persistent link: https://www.econbiz.de/10014258975
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A structured scenario approach to multi-screen ecosystem forecasting in Korean communications market
Chang, Suk-gwon - In: Technological forecasting & social change : an … 94 (2015), pp. 1-20
Persistent link: https://www.econbiz.de/10011389963