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Peabody, Michael R. – Measurement: Interdisciplinary Research and Perspectives, 2023
Many organizations utilize some form of automation in the test assembly process; either fully algorithmic or heuristically constructed. However, one issue with heuristic models is that when the test assembly problem changes the entire model may need to be re-conceptualized and recoded. In contrast, mixed-integer programming (MIP) is a mathematical…
Descriptors: Programming Languages, Algorithms, Heuristics, Mathematical Models

Tamine, Lynda; Chrisment, Claude; Boughanem, Mohand – Information Processing & Management, 2003
Explains the use of genetic algorithms to combine results from multiple query evaluations to improve relevance in information retrieval. Discusses niching techniques, relevance feedback techniques, and evolution heuristics, and compares retrieval results obtained by both genetic multiple query evaluation and classical single query evaluation…
Descriptors: Algorithms, Comparative Analysis, Evolution, Genetics
Landa, Lev N. – Educational Technology, 1998
After reviewing 50 educational software titles produced by 21 companies to assess how thinking and thinking skills were developed, the author found most had similar methodological drawbacks. Describes the algo-heuristic methodological position and outlines drawbacks of current software. (PEN)
Descriptors: Algorithms, Comparative Analysis, Computer Assisted Instruction, Computer Software Evaluation