| Input: |
| NP: the population size. |
| Max_FES: maximum number of function evaluation. |
| Ω: the oracle pamameter. |
| the generation strategies pool: “rand/1/bin”, “rand/2/bin”, and “current-to-rand/1”. |
| the control parameters pool: [, = 0.1], [], and []. |
| (1) ; |
| (2) if there are discrete variables, then the generalized discrete variables handling method is used, |
| (3) generate an initial population by uniformly and randomly sampling from the search landspace, |
| (4) measure the constraint violations with the residual function for each individual in current population, |
| (5) evaluate the modified oracle penatly function values for each individual in current population, |
| (6) FES = NP; |
| (7) while FES < Max_FES do |
| (8) ; |
| (9) for : NP do |
| (10) use the three strategies, with a control parameter setting randomly selected from the control parameter pool, to generate three |
| trial vectors and for the target vector ; |
| (11) measure the constraint violations with the residual function values of the three trial vectors and ; |
| (12) evaluate the modified oracle penatly function values of the three trial vectors and ; |
| (13) choose the best trial vector and add it into ; |
| (14) FES = FES + 3; |
| (15) end for |
| (16) ; |
| (17) end while |
| (18) select the individual with the smallest modified oracle penatly function value in the population |
| Output: the objective function value |
