A Multi-objective Optimization Evaluation Based on Experimental Datum

DOI

10.2991/msam-15.2015.34How to use a DOI?

Keywords

fuzzy comprehensive evaluation; nearness; black-box; multi-objective optimization

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/msam-15.2015.34
ID  - Wang2015/08
ER  -