Title | ||
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Multi-objective genetic algorithms for cost-effective distributions of actuators and sensors in large structures |
Abstract | ||
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This paper proposes a multi-objective genetic algorithm (MOGA) for optimal placements of control devices and sensors in seismically excited civil structures through the integration of an implicit redundant representation genetic algorithm with a strength Pareto evolutionary algorithm 2. Not only are the total number and locations of control devices and sensors optimized, but dynamic responses of structures are also minimized as objective functions in the multi-objective formulation, i.e., both cost and seismic response control performance are simultaneously considered in structural control system design. The linear quadratic Gaussian control algorithm, hydraulic actuators and accelerometers are used for synthesis of active structural control systems on large civil structures. Three and twenty-story benchmark building structures are considered to demonstrate the performance of the proposed MOGA. It is shown that the proposed algorithm is effective in developing optimal Pareto front curves for optimal placement of actuators and sensors in seismically excited large buildings such that the performance on dynamic responses is also satisfied. |
Year | DOI | Venue |
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2012 | 10.1016/j.eswa.2012.01.070 | Expert Syst. Appl. |
Keywords | Field | DocType |
genetic algorithm,linear quadratic gaussian control,active structural control system,seismic response control performance,optimal placement,multi-objective genetic algorithm,structural control system design,cost-effective distribution,evolutionary algorithm,control device,large structure,dynamic response | Evolutionary algorithm,Linear-quadratic-Gaussian control,Computer science,Control theory,Accelerometer,Multi-objective optimization,Control system,Genetic algorithm,Pareto principle,Actuator | Journal |
Volume | Issue | ISSN |
39 | 9 | 0957-4174 |
Citations | PageRank | References |
8 | 0.81 | 3 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Young-Jin Cha | 1 | 143 | 8.06 |
Anil K. Agrawal | 2 | 9 | 1.18 |
Yeesock Kim | 3 | 58 | 7.16 |
Anne Raich | 4 | 62 | 4.58 |