A Multi-objective Optimization Evaluation Based on Experimental Datum
Lei Wang, Tianzhong Sui
Available Online August 2015.
- https://doi.org/10.2991/msam-15.2015.34How to use a DOI?
- fuzzy comprehensive evaluation; nearness; black-box; multi-objective optimization
- Aiming at multi-objective optimization problem of black-box system, the model of multi-objective optimization ED-ANN-NGA-FCE (Experimental Design-Artificial Neural Networks-Niche Genetic Algorithm-Fuzzy Comprehensive Evaluation) is established. A fuzzy evaluation for multi-objective Pareto-optimal set is main work in this paper. With the nearness, Pareto-optimal set are evaluated as an objective method. And with expert estimation, Pareto-optimal set are evaluated as a subjective method. On the basis this, combining the two methods, a fuzzy comprehensive evaluation result can be obtained. A subjective and objective standard can be taken into consideration using this method. And the contradiction results and the problem of difficult evaluation can be solved efficiently.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Lei Wang AU - Tianzhong Sui PY - 2015/08 DA - 2015/08 TI - A Multi-objective Optimization Evaluation Based on Experimental Datum BT - 2015 International Conference on Modeling, Simulation and Applied Mathematics PB - Atlantis Press SP - 151 EP - 154 SN - 1951-6851 UR - https://doi.org/10.2991/msam-15.2015.34 DO - https://doi.org/10.2991/msam-15.2015.34 ID - Wang2015/08 ER -