Comparing Heuristic, Evolutionary and Local Search Approaches to Scheduling

Soraya Rana, Adele E. Howe, L. Darrell Whitley, and Keith Mathias, Colorado State University

The choice of search algorithm can play a vital role in the success of a scheduling application. In this paper, we investigate the contribution of search algorithms in solving a real-world warehouse scheduling problem. We compare performance of three types of scheduling algorithms: heuristic, genetic algorithms and local search. Additionally, we assess the in uence of heuristics on search performance and check for bias induced by using a fast objective function to evaluate intermediate search results.

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