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We used a genetic algorithm for variable selection.
Tavakkoli-Moghaddam et al. (2008), used a genetic algorithm (GA) to solve the same problem.
They used a genetic algorithm to solve the optimization model that determines the distribution network structure.
For this purpose, we used a genetic algorithm (GA) that considered the experimental results of a CM wall.
We used a genetic algorithm (GA) to solve this intractable problem.
Therefore, the authors used a genetic algorithm (GA) to determine the optimal parameters of FLC.
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Ranjbar and Kianfar (2007) used a genetic algorithm-based model to schedule each activity in one of its modes in order to minimize the project makespan.
This problem is solved using a genetic algorithm meta-heuristic.
Pareto-optimal solutions are generated using a genetic algorithm.
The optimization process is done by using a genetic algorithm.
This code is written using a genetic algorithm.
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