| Comparison of | With | Testing field | Performance | Reference |
| CSO (original) | PSO and weighted-PSO | Six test functions | Better | [4, 5] | BCSO | GA, BPSO, and NBPSO | Four test functions (sphere, Rastrigin, Ackley, and Rosenbrock) | Better | [9] | MOCSO | NSGA-II | Cooperative spectrum sensing in cognitive radio | Better | [10] | PCSO | CSO and weighted-PSO | Three test functions (Rosenbrock, Rastrigrin, and Griewank) | Better when the number of iteration is fewer and the population size is small | [11] | CSO clustering | K-means and PSO clustering | Four different clustering datasets (Iris, Soybean, Glass, and Balance Scale) | More accurate but slower. | [12] | EPCSO | PCSO, PSO-LDIW, PSO-CREV, GCPSO, MPSO-TVAC, CPSO-H6, PSO-DVM | Five test functions and aircraft schedule recovery problem | Better | [13] | AICSO | CSO | Three test functions (Rastrigrin, Griewank, and Ackley) | Better | [14] | ADCSO | CSO | Six test functions (Rastrigrin, Griewank, Ackley, axis parallel, Trid10, and Zakharov) | Better except for Griewank test function. | [15] | Enhanced HCSO | PSO | Motion estimation block-matching | Better | [16, 17] | ICSO | PSO | Motion estimation block-matching | Better | [17] | OL-ICSO | K-median, PSO, CSO, and ICSO | ART1, ART2, Iris, CMC, Cancer, and Wine datasets | Better | [18] | CQCSO | QCSO, CSO, PSO, and CPSO | Five test functions (Schaffer, Shubert, Griewank, Rastrigrin, and Rosenbrock) and multipeak maximum power point tracking for a photovoltaic array under complex conditions | Better | [19] | ICSO | CSO and PSO | The 69-bus test distribution system | Better | [20] | ICSO | CSO, BCSO, AICSO, and EPCSO | Twelve test functions (sphere, Rosenbrock, Rastrigin, Griewank, Ackley, Step, Powell, Schwefel, Schaffer, Zakharov’s, Michalewicz, quartic) and five real-life clustering problems (Iris, Cancer, CMC, Wine, and Glass) | Better | [21] | Hybrid PCSOABC | PCSO and ABC | Five test functions | Better | [22] | CSO-GA-PSOSVM | CSO + SVM (CSOSVM) | 66 feature points from each face of CK + (Cohn Kanade) dataset | Better | [23] | Hybrid CSO-based algorithm | GA, EA, SA, PSO, and AFS | School timetabling test instances | Better | [24] | Hybrid CSO-GA-SA | SLPA and CFinder | Seven datasets (Karate, Dolphin, Polbooks, Football, Net-Science, Power, Indian Railway) | Better | [25] | MCSO | CSO | Nine datasets from UCI | Better | [26] | MCSO | CSO | Eight dataset | Better | [27] | NMCSO | CSO, PSO | Sixteen benchmark functions | Better | [28] | ICSO | CSO | Ten datasets from UCI | Better | [29] | cCSO | DE, PSO, CSO | 47 benchmark functions | Better | [30] | BBCSO | Binary particle swarm optimization (BPSO), binary genetic algorithm (BGA), binary CSO | 0/1 Knapsack optimization problem | Better | [31] | CSO-CS | N/A | VRP instances from http://neo.lcc.uma.es/vrp/ | N/A | [32] |
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