A Problem with the Current Methodology for Comparing Search Algorithms and a Proposed Solution

This paper explores how incompletely described tie-break policies can invalidate the experimental results reported in papers on optimal bidirectional heuristic search (BiHS). Experiments usually use a single implementation of an algorithm with its specific tie-break policy. When the tie-breaks are insufficiently described, we show that the results can be irreproducible, vary dramatically under different implementations, and lead to misleading assessments of an algorithm’s performance. To ensure reproducible and representative results, papers should either provide a description of the algorithm’s implementation, i.e., the complete tie-break policy, or alternatively, give results as a summary statistic representative of all possible tie-break implementations. We developed a software tool for this purpose.

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Publication Details

Journal
Proceedings of the International Symposium on Combinatorial Search
Published
2025-07-19
DOI
https://doi.org/10.1609/socs.v18i1.35973
Primary Topic
Metaheuristic Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
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article

A Problem with the Current Methodology for Comparing Search Algorithms and a Proposed Solution

Michael Barley, Patricia Riddle, Vidal Alcázar, Hans Zwart et al.
Proceedings of the International Symposium on Combinatorial Search
Metaheuristic Optimization Algorithms Research
article

A Problem with the Current Methodology for Comparing Search Algorithms and a Proposed Solution

Michael Barley, Patricia Riddle, Vidal Alcázar, Hans Zwart, Christopher M. Triggs, Santiago Franco, Tim Hartill, Ángel García‐Olaya, Natasha De Kriek
article en

Abstract

This paper explores how incompletely described tie-break policies can invalidate the experimental results reported in papers on optimal bidirectional heuristic search (BiHS). Experiments usually use a single implementation of an algorithm with its specific tie-break policy. When the tie-breaks are insufficiently described, we show that the results can be irreproducible, vary dramatically under different implementations, and lead to misleading assessments of an algorithm’s performance. To ensure reproducible and representative results, papers should either provide a description of the algorithm’s implementation, i.e., the complete tie-break policy, or alternatively, give results as a summary statistic representative of all possible tie-break implementations. We developed a software tool for this purpose.

Proceedings of the International Symposium on Combinatorial SearchVol. 18
University of Auckland (NZ), Royal Holloway University of London (GB), Universidad Carlos III de Madrid (ES)
Openalex Percentile: Top 91%
Metaheuristic Optimization Algorithms Research
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