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| Ref. | Year | CI approach | Problem (optimization) | Characteristics |
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| [85] | 2013 | Review: fuzzy logic control (FLC), artificial neural network (ANN), and evolutionary algorithms (EA) | Maximum power point tracking (MPPT) techniques for PV applications. | The paper focus on the applications of CI techniques during partial shading conditions. |
| [109] | 2011 | Fuzzy logic controller (FLC). | Maximum power point tracking (MPPT) techniques for PV applications. | The near optimum design for membership functions and control rules were found simultaneously by genetic algorithms (GAs). |
| [111] | 2011 | Adaptive-network-based fuzzy inference system combined with wavelet transform, and particle swarm optimization. | Forecasting of wind power. | Comparison with seven other approaches (persistence, NRM, ARIMA, NN, NNWT, NF, and WNF) is presented. |
| [112] | 2011 | Adaptive-network-based fuzzy inference system combined with wavelet transform and particle swarm optimization. | Forecasting of short-term electricity prices. | Comparison with ten other approaches (ARIMA, mixed-model, NN, wavelet-ARIMA, WNN, FNN, HIS, AWNN, NNWT, and CNEA) are presented. |
| [113] | 2010 | Fuzzy adaptive modified particle swarm optimization (FAMPSO). | Nonconvex economic dispatch problem (NEDP). | The fuzzy system is used to tune PSO parameters (i.e., inertia weight and learning factors). |
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