A tutorial on simulation optimization
WSC '92 Proceedings of the 24th conference on Winter simulation
Multicriteria optimization of simulation models
WSC '91 Proceedings of the 23rd conference on Winter simulation
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
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Multicriteria Optimization
Multiobjective simulation optimization using an enhanced genetic algorithm
WSC '05 Proceedings of the 37th conference on Winter simulation
| Hi-index | 0.00 |
This paper introduces an application of simulation-based multi-objective optimization to solve a system configuration problem in a hybrid flow shop system. The test case is provided by a firm that manufactures mechanical parts for the automotive sector. We present an architecture that uses both discrete-event simulation and mathematical programming tools in order to solve the problem. The multiple-objective nature of the problem is preserved throughout the proposed approach, using Pareto-dominance concepts both to eliminate inefficient solutions within the proposed solution algorithm and to provide the user with efficient solutions. Mathematical programming is used to cull the required number of simulation runs. Computational results obtained using a real-world case study are reported. The proposed approach is benchmarked against a general purpose simulation-optimization engine in order to prove its effectiveness.