In this paper, several practical applications of soft computing are introduced, which are based on "fuzzy logic", "chaos theory", "genetic algorithm", and "multi-objective genetic algorithm".

Firstly, an integrated fuzzy control system for structural vibration is presented. A fuzzy ensemble learning is developed, which includes two fuzzy active control systems, a fuzzy ensemble system, and a gating network for improvement of fuzzy active control system performance. The proposed method has higher robustness for various types of earthquake excitations than individual fuzzy active control systems.

Next, an application of chaos theory to damage detection is described. Numerical simulations show that the proposed method is effective as a detection method of damage location. The optimal restoration scheduling of damaged road networks is developed using Genetic Algorithm (GA). GA Considering Uncertainty (GACU) is developed to obtain some scheduling plans with robustness by treating various uncertainties involved.

Lastly, an optimal maintenance planning for bridge structures using multi-objective genetic algorithm is given, which can provide several practical scheduling candidates that the bridge owner can select through considering the situation and constraints.

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