A MULTILEVEL HYBRID GENETIC ALGORITHM FOR STRUCTURAL CONTROL SYSTEM OPTIMIZATION

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概要

• 論文の詳細を見る

• A multilevel hybrid genetic algorithm, which integrates genetic algorithms and traditional gradient-based optimal design methods, is investigated for solving the hierarchical optimization problem in structural control system design. A three-level mathematical model for the problem is developed in which the first level optimizes the controller number, the second level optimizes the positions of controllers in a structure, and the third level optimizes the parameters of controllers. The algorithm is applied to a 16-storey building excited by typical earthquake forces and controlled by a type of passive control device.

• 一般社団法人日本機械学会の論文

著者

• LIU D.

  Department of Chemical Engineering, The University of Queensland

• Brown T.

  Department Of Surgery Morriston Hospital

• Tam C.

  Dept. Of Building And Construction City University Of Hong Kong

• Zhang N.

  Department of Mechanical & Manufacturing Engineering, Faculty of Engineering, University of Technolo

• Liu D.

  Department Of Chemical Engineering The University Of Queensland

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• A MULTILEVEL HYBRID GENETIC ALGORITHM FOR STRUCTURAL CONTROL SYSTEM OPTIMIZATION

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