Research Article
Multipopulation Management in Evolutionary Algorithms and Application to Complex Warehouse Scheduling Problems
Algorithm 1
Pseudocode of the proposed multipopulation EAs.
Set the parameters of the proposed multi-population EAs | Randomly initialize the entire population | Evaluate the fitness of all candidate solutions in the population | Divide the population into multiple subpopulations | While the halting criterion is not satisfied do | For each subpopulation do | Perform an independent EA to create its own offspring subpopulation | End for | Judge diversity and manage offspring subpopulations, and the detail sees Section 2.2 | Evaluate the fitness of all offspring subpopulations | End while |
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