Research Article
Particle Swarm and Bacterial Foraging Inspired Hybrid Artificial Bee Colony Algorithm for Numerical Function Optimization
(1) Set the source position , produce new solution . | (2) for (as a counter) from 1 to colony size | (3) = rand() (as a random dimension of source position) | (4) = rand(1, colonysize) & (as another random dimension of source position) | (5) set temp = rand | (6) for dim (as a counter from 1 to max dimension) | (7) while | (8) new solution | (9) if new fitness value is better than fitness value | (10) then | (11) else | (12) set | (13) end if | (14) end while | (15) end for | (16) end for |
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