Research Article

An Optimization Framework of Multiobjective Artificial Bee Colony Algorithm Based on the MOEA Framework

Algorithm 1

Unity procedure of metaheuristics.
Step 1: Initialization
Initialize parameters and solution set , iteration index k = 0.
Step 2: Candidate generation
Generate candidate set according to generation rules and sampling distributions.
Step 3: Update solution/parameter set
Update solution set according to candidate set , previously obtained information and algorithm parameters. Update algorithm parameters as well.
Step 4: Termination conditions
If termination conditions are satisfied, stop and exit; otherwise return to Step 2.