1,720,970 research outputs found
Evolutionary Multi-Objective Optimization and Preference Modeling in Green Logistics
This master thesis considers supply chain design in green logistics. The research consists of
two parts. First, we formulate the environmentally conscious design as a a multi-objective optimization problem and construct the Pareto front using scalarizing methods (weighted sum and -constraint method) and genetic algorithms (NSGA-II/SPEA2). The second part involves constructing a preference model to aid the decision maker (DM) in choosing the preferred alternative using the UTAGMS method.
This research includes a case study for a supply chain in the South Eastern Europe region;
it extends the work of I. Mallidis, R. Dekker, and D. Vlachos. The impact of greening on supply chain design and cost: a case for a developing region. Journal of Transport Geography, 22:118–128, 2012. We apply a genetic algorithm to optimize simultaneously cost, CO2 emission and Particulate Matters (PM – also known as fine dust), and to present a set of alternatives to the DM (the Pareto front). In this case study there are two different scenarios: both have the
distribution centers outsourced, one also outsources the transportation while the other scenario leases the transportation. First we compare the different method to see which method give the best representation of the Pareto front. Then the UTAGMS method will be used to aid the DM in choosing his/her most preferred solution. For the UTAGMS method, the DM is asked to provide his/her preference information by means of pair wise comparisons. Some computational tests are used to determine how applicable the UTAGMS method is to this particular case
Improving Call Center Load Prediction using News
This thesis evaluates the applicability of news text mining for enhancing daily
call center load forecasting for a Dutch flight holiday company called Vliegtickets.
nl. A seasonal autoregressive integrated moving average model (SARIMA)
is enhanced using news events, that form the external regressors as categorycounts
before each predicted day based on the dictionary lists of the General
Inquirer (GI). Ant colony optimization is used for feature selection. The used
dataset contains the daily number of calls of 2009, 2010, and 2011. While
news-based regressors do not consistently improve prediction accuracy in terms
of RMSE or MAPE, they improve the RMSE slightly for 2010 that contains extreme
news-related peaks
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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