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| ¡¡ Multiª²Objective Optimization for
Electrostaticª²Feedback Microª²Sensor Based on Genetic Algorithm Abstract£ºMultiª²objective optimization for a novel electrostaticª²feedback
accelerometer is discussed£® From the energy relations of coupled electrostaticª²field£¬the
dynamic model of the system is constructed, and a multiª²objective optimization model£¬where
the sensitivity£¬resolution and resonant frequency are selected as objectives£¬is
established via goal programming method£®Genetic algorithm (GA) is used to solve this
problem£¬and comparison with a traditional optimization approach£¬ sequence quadratic
programming (SQP),is conducted£®Both the two algorithms enable to achieve the aim
commendably£¬and the GA optimal solution is more satisfied£®The research provides a good
foundation to develop the stochastic and implicit parallel properties of GA to gain Pareto
optimal solutions£® |
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