A review of optimization techniques and algorithms used for FRP applications in civil engineering

Journal of Engineering and Applied Science

Table 27 Summary of cases

Algorithm/ML	FRP application	Reference	Case study	Objective function	Constrains
GA	Shear and flexure	[31]	RC Beam	Minimize cost	Codes
GA	Shear and flexure	[32]	RC Beam	Minimize cost	Codes
GA	Shear	[17]	RC Beam	Optimize capacity	Experimental laboratory test
GA	Shear	[7]	RC Beam	Optimize capacity	Experimental laboratory test
GA and multi-objective	Seismic	[10]	RC Frame	Minimize cost/maximize ductility	FE model
GA and multi-objective	Seismic	[11]	RC Frame	Minimize cost/maximize ductility	Damage levels
GA	Corrosion	[33]	RC Column	Strengthening time/number of FRP layers	Time-dependent reliability method Renewal theory
GP	Shear	[8]	RC Beam	Optimize capacity	Experimental laboratory test
GA	Shear	[20]	RC Slab	Optimize capacity	Experimental laboratory test
PSO	Flexure	[18]	RC Beam	Minimize cost	Codes
PSO and multi-objective	S.H.M	[34]	RC Beam	Minimize error	Numerical models, Experimental tests
GA and PSO	Seismic	[12]	RC Frame	Minimize FRP/maximize resiliency	Plastic hinge rotation capacity
GRNN	Shear	[19]	RC member	Optimize capacity	Experimental laboratory test
RBPNN	Shear	[13]	RC Beam	Optimize capacity	Experimental laboratory test
MLR, SVM and ANN	Bond Strength	[35]	RC member	Interfacial bond strength	Empirical IBS models
KRR, KNN, SVR, CART, RF, and GBT and xgBoost	Flexure	[26]	RC Beam	Optimize capacity	Experimental laboratory test
SVR, CART, and RFR, and ERT, GTBR and xgBoost	Shear	[27]	RC Beam	Optimize capacity	Experimental laboratory test
Super-learner	Flexure	[9]	RC Beam	Optimize capacity	Experimental laboratory test