Comparative Study on Multi-Objective Genetic Algorithms for Seismic Response Controls of Structures - Design Optimization of Active and Passive Structural Control Systems - page 354

tors and sensors, but also minimum responses of
the buildings under earthquake excitation. The
simulation also shows that the proposed MOGAs
are effectively capable of finding a set of optimal
solutions. In particular, GMGA outperforms over
NS2-IRR GA and SP2-IRR GA in terms of com-
putational time.

Brown, A. S., Ankireddi, S., & Yang, H. T. Y.
(1999). Actuator and sensor placement for multi-
objective control of structures. Journal of Struc-
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(ASCE)0733-9445(1999)125:7(757)

Cha, Y.-J. (2008). Structural control architecture
optimization for 3-D systems using advanced
multi-objective genetic algorithms . Ph.D. disser-
tation, Zachry Department of Civil Engineering,
Texas A&M University, College Station, TX.

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