The parameters of Jeager-Erdoes contained four unknown constants (A, B, K and D) were solved by Genetic Algorithm
(GA) method under no assumption.
Compared with the traditional heuristic optimization search algorithm, the main characteristic of genetic algorithm
is the population search strategy and the simple genetic operators.
Figure 7 shows the AE events localization maps of events related to the use of AMA algorithm (top) and genetic algorithm
In this paper, we introduce the genetic algorithm
(GA) as one of these metaheuristics and review some of its applications in medicine.
A brief description about Single-Depot Multiple Traveling Salesman Problem, SpaceFilling Curves and Genetic Algorithm
is given in Sections III, IV and V, respectively.
A genetic algorithm
for solving linear systems of equation is proposed in paper .
The design procedure of foundations for given loading, soil properties and strengths of structural material is framed in an optimisation process using genetic algorithm
, in which the optimisation variables are the footing dimensions and depth and the objective function is the total construction cost, treating the design requirements as design constraints.
The technique of artificial intelligence by genetic algorithm
has been employed in different areas seeking solutions for optimization problems (Miranda et al., 2015; Salvino et al., 2015).
A brief explanation of this architecture is that when a problem is very complex then the problem can be divided into subproblems (solved by simpler fuzzy systems) to study better each part of the problem and then all the outputs of the individual fuzzy systems (controllers) can go into an aggregation module that can appropriately join the outputs of all the individual fuzzy controller systems and all the systems are optimized using a conventional genetic algorithm
obtaining new and better values for controlling the plant, and one of the tests with this architecture is illustrated in .
In genetic algorithm
, after the initial generation population is generated by binary coding, the optimal solution is searched according to the natural evolution principle.