Systematic data generation and test design for solution algorithms on the example of SALBPGen for assembly line balancing

Alena Otto, Christian Otto and Armin Scholl ()

European Journal of Operational Research, 2013, vol. 228, issue 1, 33-45

Abstract: Recently, the importance of correctly designed computational experiments for testing algorithms has been a subject of extended discussions. Whenever real-world data is lacking, generated data sets provide a substantive methodological tool for experiments. Focused research questions need to base on specialized, randomized and sufficiently large data sets, which are sampled from the population of interest. We integrate the generation of data sets into the process of scientific testing.

Keywords: Scheduling; Benchmark data set; Assembly line balancing; Precedence graph; Structure analysis; Complexity measures (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (39)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:228:y:2013:i:1:p:33-45

DOI: 10.1016/j.ejor.2012.12.029

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