European Journal of Operational Research

Input and output data.

Stock returns from USA listed enterprises within the period 2003-2014. Each compressed folder contain 12 CSV files, corresponding to the stock returns of each listed enterprise along the analyzed year (for 12 years). The first folder contains daily stock returns, while the second folder contains monthly stock returns. A graphical visualization of this data set is available in Figure 2, Section 5.1 of the article.

These benchmark instances can be used for evaluating strategies for pickup and delivery problems with time window uncertainties. There are 2800 data files, each describing a separate problem instance. The detailed description of the content of the files can be found in the readme.txt file.

These files allow one to reproduce Figure 1 in the paper.

There are: 1) 3L-SDVRP-instance-sets, which including Shanghai instance set and B-Y instance set; 2) Results of the above instances.

Programs and instance files used on the paper "Heuristics for Packing Semifluids"

These reports provide details for the plots and results in the paper. They contain processed research data that is based on a few sources. 1. OpenStreetMap data licensed under the Open Data Commons Open Database License (ODbL) by the OpenStreetMap Foundation (OSMF). > You are free to copy, distribute, transmit and adapt our data, as long as you credit OpenStreetMap and its contributors. If you alter or build upon our data, you may distribute the result only under the same licence. The full legal code at https://opendatacommons.org/licenses/odbl/1.0/ explains your rights and responsibilities. See details of the copyright and license here: https://www.openstreetmap.org/copyright. 2. ERDA data obtained with a Freedom of Information Act (FOIA) request to the Fire and Emergency Medical Services Department (FEMS) of the District of Columbia, processed by CodeForDC. The code for processing the data is made available under the BSD 3-clause license in https://github.com/codefordc/ERDA, with links to the original and processed data. 3. A map of neighborhood boundaries in the District of Columbia. The Washington Post derived the neighborhood boundaries by reviewing original subdivision data, by reviewing neighborhood maps published in The Post's Where We Live real estate section and by consulting community sources. The 217 neighborhoods shown are intended for standardized data analysis purposes. Work based on data acquired from Washington Post's Homicides in the District interactive map. Data was scraped/cleaned up by @justgrimes from Code for DC, and retrieved from http://www.opendatadc.org/dataset/neighborhood-boundaries-217-neighborhoods-washpost-justgrimes on 11:40AM, 18 September 2015 EDT.

Data for an Anonymous Call Center Operation

Instances for network revenue management under ranked-based choice model

Files of the new randomly generated instances n lengths of the departments matrix with the transport weights