Research Article
A Hybrid Metaheuristic of Integrating Estimation of Distribution Algorithm with Tabu Search for the Max-Mean Dispersion Problem
Algorithm 4
Outline of the EDA guided solution construction phase.
(1) Input: and | |
(2) Output: a generated solution | |
(3) , | |
(4) repeat | |
(5) | |
(6) if then | |
(7) Construct a preference candidate set | |
(8) Randomly choose a variable from | |
(9) else | |
(10) Build a set of variables getting the maximum conditional preference probability | |
(11) Build another set of variables, where each variable satisfies | |
(12) if then | |
(13) Randomly choose a variable from | |
(14) else | |
(15) Randomly choose a variable from | |
(16) end if | |
(17) end if | |
(18) Assign the chosen variable to be value 1 to enlarge the current solution | |
(19) Calculate the objective value obtained in this iteration | |
(20) until or |