Print Email Facebook Twitter The Simulation-based Multi-objective Evolutionary OptimizatioN (SIMEON) Framework Title The Simulation-based Multi-objective Evolutionary OptimizatioN (SIMEON) Framework Author Halim, R.A. Contributor Verbraeck, A. (mentor) Seck, M.D. (mentor) Cunningham, S. (mentor) Van Houten, S.P. (mentor) Faculty Technology, Policy and Management Department Systems Engineering, Policy Analysis, and Management (SEPAM) Programme Systems Engineering Date 2010-12-17 Abstract A powerful combination of simulation and optimization has been successfully applied to solve real-world decision making problems (Fu et al., 2000; Fu, Glover, & April, 2005). Unfortunately, there are scientific and application problems with this method. Firstly, there is no transparent and formal structure to define the integration between simulation and optimization. Secondly, there are challenges to ensure a proper balance between the various desired features of the simulation-based optimization method (i.e. generality, efficiency, high-dimensionality and transparency)(Fu, 2002). This research provides two contributions to the problems above by providing: 1) the design of the framework that addresses the knowledge gap above; 2) the implementation of the framework that fulfills the aforementioned features in Java. The proposed framework is developed based on Zeigler’s modeling and simulation framework and the phases of an optimization study in operations research. The test and evaluation show that the desired features are successfully satisfied. Subject frameworksimulationmulti-objectiveevolutionaryoptimization To reference this document use: http://resolver.tudelft.nl/uuid:1c5639e7-f7ee-4b9b-b15a-074039906860 Part of collection Student theses Document type master thesis Rights (c) 2010 Halim, R.A. Files PDF SIMEON_final_version.pdf 8.9 MB PDF the_SIMEON_framework_simu ... r_V3.0.pdf 346.75 KB Close viewer /islandora/object/uuid:1c5639e7-f7ee-4b9b-b15a-074039906860/datastream/OBJ1/view