The genetic algorithms
are categorized as global search heuristics, the operation model based on biological evaluation such as selection, crossover, and mutation.
During this a general purpose schedule optimizer for manufacturing flow shops planning using genetic algorithms
In order to avoid result from local optimum scenario by the Back Propagation optimizer, Genetic Algorithm
optimizes synaptic weights of the network towards reducing prediction error.
in search Optimization and Machine Learning.
Keywords: Regional science and technology resource, allocation optimization, genetic algorithm
Baklacioglu, "Fuel flow-rate modelling of transport aircraft for the climb flight using genetic algorithms
," The Aeronautical Journal, vol.
Medical image registration using parallel genetic algorithms
(GA) are optimization and search techniques based on the natural evolution principles.
have very good results with problems with a large set of possible solutions.
are search methods for locating the global optimal solution, based upon the idea of simulating the natural selection process in which stronger individuals stay alive in a competing environment (Man et al.
approach to feature discretization in artificial neural networks for the prediction of stock price index.
The initial values of the uncertain parameters, ballistic coefficient and eccentricity, are estimated with the response surface technique using a genetic algorithm
for the four time intervals where a near linear variation of the mean apogee altitude is observed.