Research Article
A Plant Propagation Algorithm for Constrained Engineering Optimisation Problems
(1) Initialization: Generate a population ; | (2) ; | (3) for : do | (4) Compute ; | (5) Sort in ascending order of (for minimization); | (6) Create new population ; | (7) for each do | (8) set of runners where both the size of the set and the distance for each runner (individually) | are proportional to , the normalized objective value | (9) {append to population}; | (10) end for | (11) {new population}; | (12) end for | (13) Return , the population of solutions. |
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