Research Article
Hierarchical Multiobjective Dispatching Strategy for the Microgrid System Using Modified MOEA/D
Algorithm 2
Replacing the parent solution.
| Require: | | j: index of the selected subproblem for reproduction. | : indices of the neighbor subproblems of the j-th subproblem, | | N: size of the evolutionary population y: newly generated offspring | | z: reference point | : direction vector : decision vector | : objective function of i-th sub-problem | | n r: maximum number of the replaced parent solutions by one offspring solutions | | Output: Population: objective function values: | | Step 1 Initialization: | | Step 2 Find the sub-problem of maximal fitness improvement | | For i = 1 to N do | | | If , then and | | Step 3 Replace a parent solution: | | If , then set xi = y, F(xi) = F(y) and | | Step 4 Replace improvable parent solutions randomly: | | While and do | (1) | Randomly select an index i from | (2) | If then set , and | (3) | Delete i from | | End of While |
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