A Hybrid Technique Based on a Genetic Algorithm for Fuzzy Multiobjective Problems in 5G, Internet of Things, and Mobile Edge Computing
Algorithm 1
Creation of the primary population
ā
Suppose is the dimension size of the number of the population which is supposed to be generated.
(1)
If is empty, then generate members as follows: for each the value of the th component for is chosen randomly from .
(2)
If is not empty, then generate the first part of the population for each as follows: set for and , and assign a random value from to . We generate the second part of the population by choosing from for each . This generates individuals.
(3)
Check the feasibility of the new solution. If the solution is not feasible, use Algorithm 3.