Experimental evaluation of heuristic optimization algorithms: A tutorial

Experimental evaluation of heuristic optimization algorithms: A tutorial

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Article ID: iaor20023440
Country: Netherlands
Volume: 7
Issue: 3
Start Page Number: 261
End Page Number: 304
Publication Date: May 2001
Journal: Journal of Heuristics
Authors: ,
Keywords: heuristics
Abstract:

Heuristic optimization algorithms seek good feasible solutions to optimization problems in circumstances where the complexities of the problem or the limited time available for solution do not allow exact solution. Although worst case and probabilistic analysis of algorithms have produced insight on some classic models, most of the heuristics developed for large optimization problems must be evaluated empirically – by applying procedures to a collection of specific instances and comparing the observed solution quality and computational burden. This paper focuses on the methodological issues that must be confronted by researchers undertaking such experimental evaluations of heuristics, including experimental design, sources of test instances, measures of algorithmic performance, analysis of results, and presentation in papers and talks. The questions are difficult, and there are no clear right answers. We seek only to highlight the main issues, present alternative ways of addressing them under different circumstances, and caution about pitfalls to avoid.

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