2018
DOI: 10.24251/hicss.2018.158
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Abstract: A wide variety of organizations now regularly rely on established metaheuristic search algorithms in order to find solutions to otherwise intractable optimization problems. Unfortunately, neither the developers of these algorithms nor the organizations that rely on them typically assess the algorithms' performance against a baseline random search strategy, opting instead to compare a specific algorithm's performance against that of other metaheuristic search algorithms. This paper reveals the folly of such beh…

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