Evolutionary Game Theory in Multi-Objective Optimization Problem

DOI

10.2991/ijcis.2010.3.s1.6How to use a DOI?

Keywords

Multi-Objective Optimization, Evolutionary game, Non-linear Programming Problem, Distributed multiple inputs and multiple outputs.

Abstract

Multi-objective optimization focuses on simultaneous optimization of multiple targets. Evolutionary game theory transforms the optimization problem into game strategic problem and using adaptable dynamic game evolution process intelligently obtains the optimized strategy. The problem of multiple frequency offsets estimation in distributed multiple inputs and multiple outputs system is real-world multi-objective search and optimization problems which are naturally posed as non-linear programming problems having multiple objectives. Simulation results evidence the proposed algorithm is superior to other algorithms with more robust convergence and environmental applicability.

Copyright

© 2010, 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  - JOUR
AU  - Maozhu Jin
AU  - Xia Lei
AU  - Jian Du
PY  - 2010
DA  - 2010/12/01
TI  - Evolutionary Game Theory in Multi-Objective Optimization Problem
JO  - International Journal of Computational Intelligence Systems
SP  - 74
EP  - 87
VL  - 3
IS  - Supplement 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2010.3.s1.6
DO  - 10.2991/ijcis.2010.3.s1.6
ID  - Jin2010
ER  -