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This optimization problem can be solved using genetic algorithm (GA).
The proposed optimization model can be solved using Genetic algorithm heuristically.
Other work addresses load shedding as an optimisation problem that can be solved using genetic algorithms [49] and neural networks [50].
Computers and Chemical Engineering 29, 2229 2241] to be adopted as a prior analysis in optimization problems to be solved using genetic algorithm (GA).
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The optimization model is solved using Genetic Algorithm and implemented using a moving-window procedure.
In this study, the systems of these equations were solved using genetic algorithms.
The target is formed as an objective function that is solved using genetic algorithm (GA) optimization technique.
The nonlinear multimodal integer-programming problem of selecting optimal integer weights of the WRM filter is solved using genetic algorithm.
The discrete optimization problem is solved using Genetic and Pattern Search Algorithms available at the Global Optimization Toolbox of MATLAB.
This unconstrained optimization problem was solved using genetic algorithm, particle swarm optimization, and desirability function approach in order to maximize weld penetration and minimize standard deviation of penetration.
The problem is solved using genetic algorithms (GAs) after converting the original problem formulation to an equivalent, simplified, deterministic optimization problem.
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