Evaluating the quality of online optimization algorithms by discrete event simulation

Fabian Dunke () and Stefan Nickel ()
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Fabian Dunke: Karlsruhe Institute of Technology
Stefan Nickel: Karlsruhe Institute of Technology

Central European Journal of Operations Research, 2017, vol. 25, issue 4, No 6, 858 pages

Abstract: Abstract A key feature of dynamic problems which offer degrees of freedom to the decision maker is the necessity for a goal-oriented decision making routine which is employed every time the logic of the system requires a decision. In this paper, we look at optimization procedures which appear as subroutines in dynamic problems and show how discrete event simulation can be used to assess the quality of algorithms: after establishing a general link between online optimization and discrete event systems, we address performance measurement in dynamic settings and derive a corresponding tool kit. We then analyze several control strategies using the methodologies discussed previously in two real world examples of discrete event simulation models: a manual order picking system and a pickup and delivery service.

Keywords: Online optimization; Algorithm analysis; Discrete event simulation; Order picking; Pickup and delivery (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s10100-016-0455-6

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