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In this paper, hybridization between two artificial intelligence techniques is proposed for the control of inverted pendulum. The controller combines a genetic algorithms technique optimization with fuzzy logic controller. We employ this procedure in a genetic algorithm (GA) to search for the optimal parameters (gains) of fuzzy logic controller. Numerical simulations verify the validity of the proposed...
Genetic algorithm (GA) is an algorithm that models inspiration from natural evolution to solve complex problems. GA is renowned for its ability to optimize different types of problem. However, the performance of GA necessitates data and process intensive computing when incorporating large population. This research proposes and evaluates the performance of GA by adapting MapReduce (MR), a parallel...
In order to improve the overall performance of an institution, individual performances must be looked into. Hence it is useful for educational institutions to analyze learners' performances to identify the areas of weakness to guide their students to a better future. In this paper, an algorithm is proposed for predicting a learner's performance using decision trees and genetic algorithm. Id3 algorithm...
Neural networks as universal approximators possess capability to model complex nonlinear phenomena. However, when almost nothing is known about the modeled dynamic process it is difficult to determine important parameters like the number of neurons or the size of regressor vector (dynamic order). In order to avoid suboptimal settings for a dynamic model using trial-and-error method, genetic algorithm...
A novel genetic algorithm, named double population genetic algorithm (DPGA), is proposed to improve the performance of the conventional genetic algorithm. An elaborate searching space around the current optimal solution is divided from the original searching space. One small population executes genetic operators to speed up the convergence of the algorithm in the elaborate searching space. And the...
In this paper, an improved genetic algorithm based on polygymy which means one father and many mothers is proposed. The population is divided into several sub-populations, and each sub-population is composed of a father, some mothers and some bachelors. Crossover is occurred between the father and the mothers. Mutation is occurred only among the bachelors. The function optimization results show that...
We present a modern approach of detecting the computer network security attacks (commonly termed as "hacks") by using an artificial intelligence method known as a genetic algorithm, which is a variant of stochastic beam search, which can be applied to a Policy Based Network. For this experiment, we develop the corresponding form of genetic algorithm and the form of fitness function to detect...
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