Research Article
Constraint Consensus Based Artificial Bee Colony Algorithm for Constrained Optimization Problems
| 1 | Randomly initialize a population of size NP | | The variables in each individual are generated using equation (9) | | | 2 | if there are infeasible solutions | | 2.1 Select of the infeasible solutions, and generate new offspring using (10) | | 2.2 for each individual in the remaining (NP – P) individuals | | New offspring are generated using mutation strategy based on ABC | | end for | | 2.3 Sort the entire population based on the selection mechanism | | | | end if | 3 | Go to step 2 |
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