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Title: Integration of multi-objective analysis techniques to simulation optimization
Author: Wills, Kevin
ISNI:       0000 0001 3569 8814
Awarding Body: University of Portsmouth
Current Institution: University of Portsmouth
Date of Award: 2008
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Discrete-Event Simulation is a common and powerful tool in real world decision making, used to model systems which can not be represented analytically. Considering the likelihood of multiple objectives occurring in complex systems a framework has been designed to enable the optimization of the output from multi-objective simulation models. The SimMOp methodology intelligently combines the model with a heuristic search algorithm featuring a multi-objective optimization technique with relational database technologies. The methodology is designed to obtain solutions from a dual perspective, determining the optimal solutions, based on definitions from an optimization approach, and also to take into consideration the stochasticity that will exist within all simulation model output data.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available