Sangeetha, V.;                     Krishankumar, R.;                     Ravichandran, K.S.;                     Cavallaro, F.;                     Kar, S.;                     Pamucar, D.;                     Mardani, A.    
        A Fuzzy Gain-Based Dynamic Ant Colony Optimization for Path Planning in Dynamic Environments. Symmetry 2021, 13, 280.
    https://doi.org/10.3390/sym13020280
    AMA Style
    
                                Sangeetha V,                                 Krishankumar R,                                 Ravichandran KS,                                 Cavallaro F,                                 Kar S,                                 Pamucar D,                                 Mardani A.        
                A Fuzzy Gain-Based Dynamic Ant Colony Optimization for Path Planning in Dynamic Environments. Symmetry. 2021; 13(2):280.
        https://doi.org/10.3390/sym13020280
    
    Chicago/Turabian Style
    
                                Sangeetha, Viswanathan,                                 Raghunathan Krishankumar,                                 Kattur Soundarapandian Ravichandran,                                 Fausto Cavallaro,                                 Samarjit Kar,                                 Dragan Pamucar,                                 and Abbas Mardani.        
                2021. "A Fuzzy Gain-Based Dynamic Ant Colony Optimization for Path Planning in Dynamic Environments" Symmetry 13, no. 2: 280.
        https://doi.org/10.3390/sym13020280
    
    APA Style
    
                                Sangeetha, V.,                                 Krishankumar, R.,                                 Ravichandran, K. S.,                                 Cavallaro, F.,                                 Kar, S.,                                 Pamucar, D.,                                 & Mardani, A.        
        
        (2021). A Fuzzy Gain-Based Dynamic Ant Colony Optimization for Path Planning in Dynamic Environments. Symmetry, 13(2), 280.
        https://doi.org/10.3390/sym13020280