Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Healthcare II: multi-objective simulation optimization for a cancer treatment center
Proceedings of the 33nd conference on Winter simulation
Introduction to Algorithms
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Multiobjective simulation optimization using an enhanced genetic algorithm
WSC '05 Proceedings of the 37th conference on Winter simulation
Minimizing the total weighted completion time on unrelated parallel machines with stochastic times
WSC '05 Proceedings of the 37th conference on Winter simulation
On-line instrumentation for simulation-based optimization
Proceedings of the 38th conference on Winter simulation
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
Integrating simulation and optimization to schedule a hybrid flow shop with maintenance constraints
Computers and Industrial Engineering
On-line instrumentation for simulation-based optimization
Proceedings of the 38th conference on Winter simulation
The simulation-based multi-objective evolutionary optimization (SIMEON) framework (Work-in-Progress)
Proceedings of the 2011 Symposium on Theory of Modeling & Simulation: DEVS Integrative M&S Symposium
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This paper presents a successful application of simulation-based multi-objective optimization of a complex real-world scheduling problem. Concepts of the implemented simulation-based optimization architecture are described, as well as how different components of the architecture are implemented. Multiple objectives are handled in the optimization process by considering the decision makers' preferences using both prior and posterior articulations. The efficiency of the optimization process is enhanced by performing culling of solutions before using the simulation model, avoiding unpromising solutions to be unnecessarily processed by the computationally expensive simulation.