Modified Monkey Algorithm and its Application to the Optimal Sensor Placement

Optimal sensor placement (OSP) technique plays a key role in the structural health monitoring (SHM) of large-scale structures. In this paper, an optimal sensor placement (OSP) method based on a new intelligent algorithm, i.e., monkey algorithm (MA) is proposed. Considering the limitation of MA and the characteristics of OSP, the integer encoding to solve the location of the monkeys is proposed. The diversity of the monkeys is increased by introducing the hamming distance in the initial location, in order to improve the capacity of global search, and the random disturbance mechanism of the Harmony search is introduced in the process of climbing to improve the capacity of local search. Finally, taking the Dalian World Trade Building as an example, the OSP schemes are chosen. The numerical example demonstrated the feasibility and effectiveness of the proposed method.