Research Article
Solving the Traveling Salesman’s Problem Using the African Buffalo Optimization
Table 2
Experimental parameters.
| ABO | ACO | ABC | HA | CGAS | Parameter | Values | Parameters | Values | Parameters | Values | Parameters | Values | Parameter | Values |
| Population | 40 | Ants | | Population | | Population | | Generation | 100 | | 1.0 | β | 5.0 | ϕij | rand(−1, 1) | β | 5.0 | β | 2.0 | max/max | 0.6 | ρ | 0.65 | ωij | rand(0, 1.5) | ρ | 0.65 | ρ | 0.1 | | 0.5 | α | 1.0 | SN | NP/2 | α | 1.0 | | 0.33 | | 1.0 | Ǫ | 200 | Limit | | ϕij | rand(−1, 1) | Crossover rate | 1.0 | N/A | — | qo | 0.9 | Max cycle number | 500 | ωij | rand(0, 1.5) | qo | 0.9 | N/A | — | N/A | — | Colony | 50 | SN | NP/2 | ϕ | 0.3 | N/A | — | N/A | — | N/A | — | Limit | | ϕρ | 0.2 | N/A | — | N/A | — | N/A | — | Max cycle number | 500 | | | N/A | — | N/A | — | N/A | — | Colony | 50 | | | N/A | — | N/A | — | N/A | — | Ǫ | 200 | N/A | — | N/A | — | N/A | — | N/A | — | qo | 0.9 | N/A | — | Total number of runs | 50 | | 50 | | 50 | | 50 | | 50 |
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