Research Article
An Improved Hybrid Algorithm Based on Biogeography/Complex and Metropolis for Many-Objective Optimization
| Output: population | | () Initialization all the parameters | | () generating parent population, weighting vectors and neighborhood index set | | () decomposition strategy | | () while the termination condition is not met do | | () calculate the nondominated ranking system in subsystem | | () perform within-subsystem migration | | () perform cross-subsystem migration | | () perform mutation | | () clear the duplicate solution | | () replace the worst solutions with good islands | | () end while | | () return |
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