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