Christopher D. Geiger

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We present a new multiobjective evolutionary algorithm (MOEA), called fast Pareto genetic algorithm (FastPGA). FastPGA uses a new fitness assignment and ranking strategy for the simultaneous optimization of multiple objectives where each solution evaluation is computationallyand/or financially-expensive. This is often the case when there are time or(More)
This paper studies the issue of channel coordination for a supply chain consisting of one supplier and two retailers, facing stochastic demand that is sensitive to both sales effort and retail price. We develop a decision support tool using simulation optimization for supply chain coordination with revenue sharing or buyback contract. In order to represent(More)
The objective of this study is to evaluate and compare two commercial simulation-based optimization packages, OptQuest and Witness Optimizer, to determine their relative performance based on the quality of obtained solutions in a reasonable computational effort. Two well-known benchmark problems, the pull manufacturing system and the inventory system, are(More)
The main purpose of this paper is to introduce a new framework to more efficiently investigate the patient flow of the Emergency Department (ED) of a governmental hospital in Tehran, Iran, in order to find out improving scenarios for reducing waiting times of patients. The proposed framework integrates the simulation model of patients flow process with the(More)