Table 1
Pseudocode for the proposed algorithm [43].
| Algorithm 1: Pseudocode for EDBO Algorithm |
|---|
| Input: DB, iteration number |
| Output: The selection of optimal parameters for the optimization approach |
| Set the DB population k = 1, 2, 3, O and define its relevant parameters |
| While (t ≤ Tmax) do |
| for k = 1 to O do |
| if k == BRDB then |
| δ = rand (1); |
| If <0.9 then |
| Select α value |
| Update the BRDB; |
| Else |
| Update the BRDB; |
| end if |
| end if |
| If k == BrB then |
| Update the BrB position; |
| end if |
| if k == SDB then |
| Update egg-laying locations and foraging locations of BrB and SDB using spiral search strategy; |
| end if |
| If k==th then |
| Update position of Thief Dung Beetle (TDB) by Levy flight strategy; |
| end if |
| end for |
| If a better position is obtained than before then update it; |
| end if |
| it = it + 1 |
| end while |
| Return the best value |
“O” represents the population size of the particles, “α” represents the deflection coefficient, “it” represents the present iteration, δ signifies searching agent, Max_iter represents the maximum iteration number, best fitness value is denoted as fbest, fi denotes the fitness at the kth solution, the thief is expressed as th, Small Dung Beetle is denoted as SDB, Brood Ball is denoted as BrB, BRDB denotes the Ball Rolling Dung Beetle.
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