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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