Research Article
A Decomposition-Based Unified Evolutionary Algorithm for Many-Objective Problems Using Particle Swarm Optimization
Input: Objectives , | Output: Objective subsets, | (1) while do | (2) if then | (3) Put the last objectives into one subgroup | (4) | (5) Exit the while loop | (6) end if | (7) Calculate the rank correlation between and all the other | objectives under ’s fitnesses | (8) Select the largest (or smallest, relevant decoupling and conflict | decoupling relatively) two , | (9) Put , , into one subgroup | (10) Rearrange the rest objectives | (11) end while |
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