Since most complicated logistics problems, for example, the bin-packing problem and the traveling salesman problem, are (Formula Presented)-Hard, it is unlikely that polynomial-time algorithms will be developed for their optimal solutions. Consequently, a great deal of work has been devoted to the development and analyses of heuristics. In this chapter, we demonstrate one important tool, referred to as worst-case performance analysis, which establishes the maximum deviation from optimality that can occur for a given heuristic algorithm. We will characterize the worst-case performance of a variety of algorithms for the bin-packing problem and the traveling salesman problem. The results obtained here serve as important building blocks in the analysis of algorithms for vehicle routing problems.
CITATION STYLE
Simchi-Levi, D., Chen, X., & Bramel, J. (2014). Worst-Case Analysis. In Springer Series in Operations Research and Financial Engineering (pp. 65–84). Springer Nature. https://doi.org/10.1007/978-1-4614-9149-1_4
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