Reference No. | Authorâ€™s Name | Name of Technique | Problem Controlled |

[44] | Fonseca, C.M. and Fleming, P.J. [1993] | (MOGA) Multi-Objective Genetic Algorithm | Optimization |

[45] | Horn, J. | (NPGA) Niched Pareto Genetic Algorithm | Multi-Objective Optimization |

[46] | Srinivas, N. and Deb, K. [1995] | (NSGA) Non-Dominated Sorting Genetic Algorithms | Multi-Objective Optimization |

[47] | Stutzle, T. [1998] | (PAS) Parallelization of Ant System | Combinatorial Optimization |

[48] | Bullnheimer, B., Hartl, R.F. and Strauss, C. [1997] | (AS rank) Rank Based Ant System | TSP |

[49] | Van den Bergh, F. and Engelbrecht, A. [2002] | (GCPSO) Guaranteed Convergence Particle Swarm Optimization | Convergence to Local Minimum |

[50] | Yang, C. and Simon, D. [2005] | (HPSO) Hierarchical Particle Swarm Optimization | Better Solution |

[51] | Janson, S. and Middenfort, M. [2006] | (NPSO) New Particle Swarm Optimization | Better Solution |

[52] | Kim, D.H. [2007] | (HGA) Hybrid Genetic Algorithm | Global Optimization |

[53] | Hu, X.M., Zhung, J. and Li, Y. [2008] | (COAC) Continuous Orthogonal Ant Colony | Continuous Optimizing Problems |

[54] | Yu, B., Yang, Z-Z. and Yao, B.Z. [2009] | (IACO) Improved Ant Colony Optimization | Vehicle Routing |

[55] | Ruhana, K. and Aljanaby, K.M.A. [2010] | (IMACO) Interacted Multiple Ant Colony Optimization | Different Instances of TSP |

[56] | Taspnar, N. [2010] | (ABC-PTS) Partial Transmit Sequences (PTSs) Based on ABC | Peak-to-Average Power Ratio |

[57] | El-Abd, M. [2011] | (OABC) ABC with the Concept of Opposition Number-Based Optimization | Black Box Optimization |

[58] | Sonmez, M. [2011] | (ABC-AP) Artificial Bee Colony with Adaptive Penalty Function | Weight of Truss Structures |

[59] | Gupta, D.K., Arora, Y. | (RMACO) Recursive Multiple Ant Colony Optimization | Estimation of Parameters of a Function |

[60] | Deepak, R. | (HBMO) Honeybee Mating Optimization Algorithm | Test Case Optimization |

[61] | Tsai, P.W. | (IABC) Interactive Artificial Bee Colony Optimization | Numerical Optimization |

[62] | Zheng, Y.J. [2015] | (WWO) Water Wave Optimization | Train Scheduling Problem |

[63] | Mirjalili, S. and Lewis, A. [2016] | (WOA) Whale Optimization Algorithm | Multimodal Functions |

[64] | Saremi, S., Mirjalili, S. and Lewis, A. [2017] | (GOA) Grasshopper Optimization Algorithm | Real Life Problems |

[65] | Yu, H. | (SHPSO) Surrogate-Assisted Hierarchical PSO | High-Dimensional Problems |

[66] | Pierezan, J. and Dos Santos Coelho, L. [2018] | (COA) Coyote Optimization Algorithm | Global Optimization Problems |

[67] | Khajeh, A., Ghasemi, M.R. and Arab, H.G. [2019] | (MPSO) Modified PSO with Novel Population Initialization | Benchmark Function Optimization |

[68] | Shabani, A. | (SAR) Search and Rescue Optimization | Single-Objective Continuous Optimization Problems |

[69] | Hosseini, S.A., Hajipour, A. and Tavakoli, H. [2019] | (HAFPSO) Hunter-Attack Fractional-Order PSO | Optimum Design of Power Amplifier |

[70] | Marzbali, A.G. [2020] | (BSSA) Bear Smell Search Algorithm | Real World Engineering Problems |

[71] | Xiong, H., Qiu, B. and Liu, J. [2020] | (NMSPSO) Novel Multi-Swam PSO | Real-World Applications Problem |

[72] | Dash, J., Dam, B. and Swain, R. [2020] | (HDEPSO) Hybrid Differential Evolution Particle Swarm Optimization | Sharp Edge FIR Filter (SEFIRF) Design Problem |