Optimal Topology/Actuator Placement Design of Structures Using SA

Multi‐level design model and genetic algorithm for structural control system optimization

“…(1) The e ects of GA 11 on GA 21 : the number of actuators, N; obtained in module GA 11 is sent to the module GA 21 , which determines the number of design variables in GA 21 . The length of the chromosome (LS 21 ), the size of population (PS 21 ) and other parameters of genetic operators in GA 21 should vary with the value of N .…”

“…Employing MLGA to solve the optimization problem considered in this paper, the ÿrst level genetic algorithm (module GA 11 ) is used to solve the subproblem of the optimal number of actuators. The second level genetic algorithm (module GA 21 ) optimizes the conÿguration of N actuators, and the third level (module GA 31 ) searches the optimal control gains when the acceleration feedback control algorithm is utilized.…”

Robustness of Optimal Design Solutions to Reduce Vibration Transmission in a Lightweight 2-D Structure, Part Iii: Using Both Geometric Redesign and the Application of Active Vibration Control

“…The optimization of both a structure and AVC actuator positions has been reported by Liu et al [5,6] and Furuya [7] (for static shape correction), using simulated annealing and genetic optimization. Dhingra and Lee [8] used a hybrid genetic algorithm/gradient-based optimization scheme on a smaller 12-beam structure, where the cross-sectional area and the actuator positions are optimized in conjunction with other system parameters.…”

“…The structural optimization performed here is achieved by allowing the geometry to vary. Liu et al [5,6] maintained the geometry but allowed the cross-sectional area of each beam to be variable, and even diminish to zero, so changing the topology. The author feels that this has practical disadvantages; in the requirement for custom machining of each beam, the complexities of the union between thick and very thin beams, and the likely loss of static strength due to the removal of beams.…”

Structural Optimization Using Simulated Annealing

“…A number of researchers applied simulated annealing to topologyoptimization problems. (Dhingra & Bennage, 1995;Topping et al, 1996;Shim & Manoochehri, 1997;Liu et al, 1997;Bureerat & Kunakote, 2006;Lamberti & Pappalettere, 2007). Their results show the promise of SA to solve topology optimization problems.…”